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    "## 什么是爬虫\n",
    "\n",
    "爬虫：一段自动抓取互联网信息的程序，从互联网上抓取对于我们有价值的信息。\n",
    "\n",
    "\n",
    "> 通过编程向网络服务器请求数据（HTML表单），然后解析HTML，提取出自己想要的数据\n",
    "\n",
    "\n",
    "![](\\assets\\spider_01.jpg)\n",
    "\n",
    "归纳为四大步：\n",
    "\n",
    "- 根据url获取HTML数据\n",
    "- 解析HTML，获取目标信息\n",
    "- 存储数据\n",
    "- 重复第一步\n",
    "\n",
    "这会涉及到数据库、网络服务器、HTTP协议、HTML、数据科学、网络安全、图像处理等非常多的内容。\n",
    "\n",
    "### 1、什么是HTML\n",
    "\n",
    "HTML 是整个网页的结构，相当于整个网站的框架。带“＜”、“＞”符号的都是属于 HTML 的标签，并且标签都是成对出现的。\n",
    "\n",
    "常见的标签如下：\n",
    "\n",
    "```python\n",
    "<html>..</html> 表示标记中间的元素是网页\n",
    "<body>..</body> 表示用户可见的内容\n",
    "<div>..</div> 表示框架\n",
    "<p>..</p> 表示段落\n",
    "<li>..</li>表示列表\n",
    "<img>..</img>表示图片\n",
    "<h1>..</h1>表示标题\n",
    "<a href=\"\">..</a>表示超链接\n",
    "```\n",
    "**CSS**  表示样式，在 CSS 中定义了外观。\n",
    "**JScript** 表示功能。交互的内容和各种特效都在 JScript 中，JScript 描述了网站中的各种功能。\n",
    "\n",
    "如果用人体来比喻，HTML 是人的骨架，并且定义了人的嘴巴、眼睛、耳朵等要长在哪里。CSS 是人的外观细节，如嘴巴长什么样子，眼睛是双眼皮还是单眼皮，是大眼睛还是小眼睛，皮肤是黑色的还是白色的等。JScript 表示人的技能，例如跳舞、唱歌或者演奏乐器等。\n",
    "\n",
    ">HTML (HyperText Markup Language) is the most basic building block of the Web. It defines the meaning and structure of web content. Other technologies besides HTML are generally used to describe a web page's appearance/presentation (CSS) or functionality/behavior (JavaScript).\n",
    "\n",
    "#### 互联网知识科普：什么是HTTP、什么是HTML\n",
    "\n",
    "https://www.bilibili.com/video/BV1UP4y1W7NC/?spm_id_from=333.337.search-card.all.click&vd_source=07ac6468c90515cc50b6c8b1072b7271\n"
   ]
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2、关于爬虫的合法性\n",
    "\n",
    "**robots 协议**也称爬虫协议、爬虫规则等，是指网站可建立一个 robots.txt 文件来告诉搜索引擎哪些页面可以抓取，哪些页面不能抓取，而搜索引擎则通过读取 robots.txt 文件来识别这个页面是否允许被抓取。\n",
    "\n",
    "作者：K哥爬虫\n",
    "链接：https://www.jianshu.com/p/6a97c9b5a3dd\n",
    "来源：简书\n",
    "著作权归作者所有。商业转载请联系作者获得授权，非商业转载请注明出处。\n",
    "\n",
    "几乎每一个网站都有一个名为 robots.txt 的文档，当然也有部分网站没有设定 robots.txt。对于没有设定 robots.txt 的网站可以通过网络爬虫获取没有口令加密的数据，也就是该网站所有页面数据都可以爬取。如果网站有 robots.txt 文档，就要判断是否有禁止访客获取的数据。\n",
    "\n",
    "https://xueqiu.com/robots.txt\n",
    "\n",
    "User-agent: * 代表的所有的搜索引擎种类，\n",
    "\n",
    "Disallow: /*.json\n",
    "\n",
    "**禁止所有爬虫访问网站某些目录的代码：**\n",
    "\n",
    "1. Disallow: /k 这里定义是禁止爬寻k目录下面的目录\n",
    "\n",
    "2. Disallow: /v4/stock/ 这里定义是禁止爬寻/v4/stock目录下面的目录\n",
    "\n",
    "3. Disallow: /p\n",
    "\n",
    "**禁止所有爬虫访问任何目录的代码：**\n",
    "\n",
    "User-agent: *\n",
    "\n",
    "Disallow:/\n",
    "\n",
    "**允许所有爬虫访问任何目录的代码：**\n",
    "\n",
    "User-agent: *\n",
    "\n",
    "Disallow:\n",
    "\n",
    "**其他例子：**\n",
    "\n",
    "User-agent: * 代表的所有的搜索引擎种类，\n",
    "\n",
    "Disallow: /admin/ 这里定义是禁止爬寻admin目录下面的目录\n",
    "\n",
    "Disallow: /cgi-bin/*.htm 禁止访问/cgi-bin/目录下的所有以”.htm”为后缀的URL(包含子目录）。\n",
    "\n",
    "Disallow: /*?* 禁止访问网站中所有包含问号 (?) 的网址\n",
    "\n",
    "Disallow: /.jpg$ 禁止抓取网页所有的.jpg格式的图片\n",
    "\n",
    "Disallow:/ab/adc.html 禁止爬取ab文件夹下面的adc.html文件\n",
    "\n",
    "https://www.jianshu.com/p/6a97c9b5a3dd"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3、使用 requests 库请求网站\n",
    "The requests module allows you to send HTTP requests using Python.\n",
    "\n",
    "The HTTP request returns a `Response Object` with all the response data (content, encoding, status, etc).\n",
    "\n",
    "Detail: https://www.w3schools.com/python/module_requests.asp\n",
    "\n",
    "安装 requests 库\n",
    "\n",
    "`pip install requests`\n",
    "\n",
    "### 4、爬虫的基本原理\n",
    "\n",
    "网页请求的过程分为两个环节：\n",
    "- Request （请求）：每一个展示在用户面前的网页都必须经过这一步，也就是向服务器发送访问请求。\n",
    "- Response（响应）：服务器在接收到用户的请求后，会验证请求的有效性，然后向用户（客户端）发送响应的内容，客户端接收服务器响应的内容，将内容展示出来，就是我们所熟悉的网页请求.\n",
    "\n",
    "网页请求的方式也分为两种：\n",
    "- GET：最常见的方式，一般用于获取或者查询资源信息，也是大多数网站使用的方式，响应速度快。\n",
    "- POST：相比 GET 方式，多了以表单形式上传参数的功能，因此除查询信息外，还可以修改信息。\n",
    "\n",
    "所以，在写爬虫前要先确定向谁发送请求，用什么方式发送。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<!DOCTYPE html>\n",
      "<html>\n",
      "<body>\n",
      "\n",
      "<h1>This is a Test Page</h1>\n",
      "\n",
      "</body>\n",
      "</html>\n"
     ]
    }
   ],
   "source": [
    "import requests\n",
    "x = requests.get('https://w3schools.com/python/demopage.htm')\n",
    "print(x.text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "403 Forbidden. Your IP Address: 58.101.2.56 .\n"
     ]
    }
   ],
   "source": [
    "### 使用 GET 方式抓取数据\n",
    "import requests                # 导入requests包\n",
    "url = 'https://xueqiu.com/'\n",
    "res = requests.get(url)         # Get方式获取网页数据\n",
    "\n",
    "print(res.text)\n",
    "  # 结果：禁止爬取。\n",
    "  #       在请求网页爬取的时候，输出的text信息中会出现抱歉，无法访问等字眼，这就是禁止爬取，需要通过反爬机制去解决这个问题。\n",
    "  #       headers是解决requests请求反爬的方法之一。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 5、设置headers\n",
    "\n",
    "#### （1）为什么要设置headers?\n",
    "在请求网页爬取的时候，输出的text信息中会出现抱歉，无法访问等字眼，这就是禁止爬取，需要通过**反爬机制**去解决这个问题。\n",
    "\n",
    "**headers**是解决requests请求反爬的方法之一，相当于我们进去这个网页的服务器本身，假装自己本身在爬取数据。\n",
    "\n",
    "对反爬虫网页，可以设置一些headers信息，模拟成浏览器取访问网站 。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Connection': 'keep-alive', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'User-Agent': 'python-requests/2.19.1'}"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import requests                # 导入requests包\n",
    "url = 'https://xueqiu.com/'\n",
    "res = requests.get(url)         # Get方式获取网页数据\n",
    "res.request.headers\n",
    "  # 结果：{'User-Agent': 'python-requests/2.27.1', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-alive'}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### （2）headers 哪里找\n",
    "\n",
    "谷歌或者火狐浏览器，在网页面上点击：右键–>检查–>网络–>消息头\n",
    "\n",
    "headers中有很多内容，主要常用的就是user-agent 和 host，他们是以键对的形式展现出来，如果user-agent 以字典键对形式作为headers的内容，就可以反爬成功，就不需要其他键对；否则，需要加入headers下的更多键对形式。\n",
    "- User-Agent：Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:109.0) Gecko/20100101 Firefox/119.0\n",
    "- Host：xueqiu.com\n",
    "\n",
    "#教你如何看headers\n",
    "https://blog.csdn.net/weixin_43508822/article/details/111561408"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "    <!doctype html>\n",
      "    <html lang=\"zh-Hans\">\n",
      "      <head>\n",
      "        <meta charSet=\"utf-8\" />\n",
      "        <title>雪球 - 聪明的投资者都在这里</title>\n",
      "        <meta http-equiv=\"X-UA-Compatible\" content=\"IE=edge,chrome=1\" />\n",
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      "        <meta name=\"viewport\" content=\"width=device-width, initial-scale=1,maximum-scale=1,user-scalable=no,viewport-fit=cover\" />\n",
      "        <meta name=\"format-detection\" content=\"telephone=no\" />\n",
      "        <meta name=\"baidu-site-verification\" content=\"c0aFIjFfZR\" />\n",
      "        <meta property=\"og:site_name\" content=\"雪球\" />\n",
      "        <meta property=\"og:url\" content=\"https://xueqiu.com/\" />\n",
      "        <meta property=\"og:image\" content=\"https://xqimg.imedao.com/17af5fe80fb1844b3fd48941.png\" />\n",
      "        <link rel=\"dns-prefetch\" href=\"//assets.imedao.com\">\n",
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      "        \n",
      "      </head>\n",
      "      <body >\n",
      "        <div id=\"app\"><div class=\"Header_nav__placeholder_2vz\"></div><nav class=\"Header_nav_1XC Header_stickyFixed_1jw\"><div class=\"Header_container_2v5 \"><div class=\"Header_nav__lf_3bW\"><a class=\"Header_nav__logo_OXB\" href=\"/\" data-analytics=\"31\" data-analytics-data=\"{type: &#x27;雪球图标&#x27;}\"></a><div class=\"Header_nav__menu_3a-\"><a class=\"Header_nav__menu__item_1Jl \" href=\"/\" data-analytics=\"31\" data-analytics-data=\"{type: &#x27;首页&#x27;}\">首页</a><div class=\"Header_nav__menu__item_1Jl\">精华<i></i><div class=\"Header_talking_17M\" style=\"display:none\">访谈中</div><div class=\"Header_nav__dropdown__container_2tb\"><i></i><div class=\"Header_nav__dropdown_27S\"><a href=\"/today\" data-analytics=\"11\" data-analytics-page=\"59\">今日话题</a><a href=\"/talks/all\" data-analytics=\"12\" data-analytics-page=\"59\" style=\"position:relative\"><div class=\"Header_talkingCircle_1jq\" style=\"display:none\"><div style=\"width:6px;height:100%;overflow:hidden;margin:0 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class=\"StockSlider_home__stock-index__item_1V7\"><svg role=\"img\" aria-label=\"Loading interface...\" viewBox=\"0 0 186 75\" preserveAspectRatio=\"none\"><title>Loading interface...</title><rect x=\"0\" y=\"0\" width=\"186\" height=\"75\" clip-path=\"url(#2r2cqmk0b0r)\" style=\"fill:url(#l2nocwdp1ci)\"></rect><defs><clipPath id=\"2r2cqmk0b0r\"><rect x=\"-15\" y=\"3\" rx=\"4\" ry=\"4\" width=\"55\" height=\"14\"></rect><rect x=\"-15\" y=\"27\" rx=\"3\" ry=\"3\" width=\"90\" height=\"24\"></rect><rect x=\"-15\" y=\"59\" rx=\"3\" ry=\"3\" width=\"90\" height=\"10\"></rect><rect x=\"108\" y=\"32\" rx=\"0\" ry=\"0\" width=\"63\" height=\"25\"></rect></clipPath><linearGradient id=\"l2nocwdp1ci\"><stop offset=\"0%\" stop-color=\"rgb(230, 236, 241)\" stop-opacity=\"0.5\"><animate attributeName=\"offset\" values=\"-2; -2; 1\" keyTimes=\"0; 0.25; 1\" dur=\"2s\" repeatCount=\"indefinite\"></animate></stop><stop offset=\"50%\" stop-color=\"rgb(230, 236, 241)\" stop-opacity=\"1\"><animate attributeName=\"offset\" values=\"-1; -1; 2\" keyTimes=\"0; 0.25; 1\" dur=\"2s\" repeatCount=\"indefinite\"></animate></stop><stop offset=\"100%\" stop-color=\"rgb(230, 236, 241)\" stop-opacity=\"0.5\"><animate attributeName=\"offset\" values=\"0; 0; 3\" keyTimes=\"0; 0.25; 1\" dur=\"2s\" repeatCount=\"indefinite\"></animate></stop></linearGradient></defs></svg></div></div><div class=\"StockSlider_home__stock-index__slider_30O\"><span class=\"StockSlider_active_3N5\"></span><span class=\"\"></span><span class=\"\"></span><span class=\"\"></span></div></div><div class=\"AnonymousHome_home__timeline_VTo\"><div class=\"AnonymousHome_home__timeline__tabs_2-L AnonymousHome_tabs_3jm\"><a href=\"/?category=snb_article\" class=\"AnonymousHome_tab__item_11C AnonymousHome_active_343\">雪球热帖</a><a href=\"/?category=livenews\" class=\"AnonymousHome_tab__item_11C\">7×24</a></div><div><div><div class=\"AnonymousHome_home__timeline__item_3vU\"><a class=\"AnonymousHome_a__placeholder_3RZ\" href=\"/7308280666/267779429\" rel=\"noopener noreferrer\" target=\"_blank\" data-analytics=\"23\" data-analytics-page=\"500\" text=\"2\"> </a><h3><a href=\"/7308280666/267779429\" rel=\"noopener noreferrer\" target=\"_blank\" data-analytics=\"23\" data-analytics-page=\"500\"></a></h3><p>美国加息也涨降息也涨，日本货币贬值也涨，我们之前还有借口说是汇率的问题，美元的问题， 现在好了，汇率大涨2100点，美债也大幅回落，股市还是跌的，是不是某些做空者有意为之？<br/>我爸昨天跟我说昨天赚了两万，然后截止刚才收盘又跟我说，儿子啊，别玩股市了，劳神伤身，分散精力<img src=\"//assets.imedao.com/ugc/images/face/emoji_33_face.png\" title=\"[捂脸]\" alt=\"[捂脸]\" height=\"24\" /><br/>...</p><div class=\"AnonymousHome_home__timeline__item__ft_2zy\"><div class=\"AnonymousHome_auchor_1RR\"><a class=\"AnonymousHome_avatar_1W- AnonymousHome_avatar-sm_3FY\" href=\"/7308280666\" rel=\"noopener noreferrer\" target=\"_blank\"><div style=\"height:24px\" class=\"lazyload-placeholder\"></div></a><a class=\"AnonymousHome_user-name_3wN\" href=\"/7308280666\" rel=\"noopener noreferrer\" target=\"_blank\">公司分析小达人</a><span> </span><span>4小时前</span></div></div></div><div class=\"AnonymousHome_home__timeline__item_3vU\"><a class=\"AnonymousHome_a__placeholder_3RZ\" href=\"/7475643401/267777011\" rel=\"noopener noreferrer\" target=\"_blank\" data-analytics=\"23\" data-analytics-page=\"500\" text=\"2\"> </a><h3><a href=\"/7475643401/267777011\" rel=\"noopener noreferrer\" target=\"_blank\" data-analytics=\"23\" data-analytics-page=\"500\">信立泰SAL0104竞争格局（2023年11月更新）</a></h3><p>2023年5月16日，拜耳公司宣布其研究性药物asundexian（BAY2433334）作为一种潜在疗法用于房颤患者预防卒中和体循环栓塞获得美国食品药品监督管理局（FDA）的快速通道资格。<br/>2023年11月19日，一项OCEANIC-AF（房颤） 的 III 期研究，旨在调查asundexian(一种直接口服抗凝剂)与阿哌沙班(BMS与辉...</p><div class=\"AnonymousHome_home__timeline__item__ft_2zy\"><div class=\"AnonymousHome_auchor_1RR\"><a class=\"AnonymousHome_avatar_1W- AnonymousHome_avatar-sm_3FY\" href=\"/7475643401\" rel=\"noopener noreferrer\" target=\"_blank\"><div style=\"height:24px\" class=\"lazyload-placeholder\"></div></a><a class=\"AnonymousHome_user-name_3wN\" href=\"/7475643401\" rel=\"noopener noreferrer\" target=\"_blank\">唐朝艺术海军</a><span> </span><span>4小时前</span></div></div></div><div class=\"AnonymousHome_home__timeline__item_3vU\"><a class=\"AnonymousHome_a__placeholder_3RZ\" href=\"/2327443043/267795544\" rel=\"noopener noreferrer\" target=\"_blank\" data-analytics=\"23\" data-analytics-page=\"500\" text=\"2\"> </a><h3><a href=\"/2327443043/267795544\" rel=\"noopener noreferrer\" target=\"_blank\" data-analytics=\"23\" data-analytics-page=\"500\"></a></h3><p>我们从长期持有的角度考虑风险，比如从基本面出发考虑未来股息率的变化带来的风险。截至11月10日，新华文轩A股和H股总市值分别为167.56亿元和82.05亿港币，对应22年的股息率分别为14.41%和5.11%。截至2023-11-10，6个月以内共有 2 家机构对新华文轩的2023年度业绩作出预测；预测2023年每股收益1.27...</p><div class=\"AnonymousHome_home__timeline__item__ft_2zy\"><div class=\"AnonymousHome_auchor_1RR\"><a class=\"AnonymousHome_avatar_1W- AnonymousHome_avatar-sm_3FY\" href=\"/zhichangrongtouzi\" rel=\"noopener noreferrer\" target=\"_blank\"><div style=\"height:24px\" class=\"lazyload-placeholder\"></div></a><a class=\"AnonymousHome_user-name_3wN\" href=\"/zhichangrongtouzi\" rel=\"noopener noreferrer\" target=\"_blank\">知常容</a><span> </span><span>2小时前</span></div></div></div><div class=\"AnonymousHome_home__timeline__item_3vU\"><a class=\"AnonymousHome_a__placeholder_3RZ\" href=\"/6593587897/267795000\" rel=\"noopener noreferrer\" target=\"_blank\" data-analytics=\"23\" data-analytics-page=\"500\" text=\"2\"> </a><h3><a href=\"/6593587897/267795000\" rel=\"noopener noreferrer\" target=\"_blank\" data-analytics=\"23\" data-analytics-page=\"500\"></a></h3><p>今天真的亏到破防了，最近的边际变化就是美国CPI不及预期带动美元指数大跌，国内对某支柱产业进行政策支持带动人民币升值幅度超过美元指数跌幅，美元流动性直接映射的是港股创新药和药明吧，涨了吗？没有；人民币汇率最直接的是M银行吧，涨了吗？没有；大A猄狸在美元指数大跌的时候最喜欢的是锂电...</p><div class=\"AnonymousHome_home__timeline__item__ft_2zy\"><div class=\"AnonymousHome_auchor_1RR\"><a class=\"AnonymousHome_avatar_1W- AnonymousHome_avatar-sm_3FY\" href=\"/6593587897\" rel=\"noopener noreferrer\" target=\"_blank\"><div style=\"height:24px\" class=\"lazyload-placeholder\"></div></a><a class=\"AnonymousHome_user-name_3wN\" href=\"/6593587897\" rel=\"noopener noreferrer\" target=\"_blank\">海盐柚子味零卡糖</a><span> </span><span>2小时前</span></div></div></div><div class=\"AnonymousHome_home__timeline__item_3vU\"><a class=\"AnonymousHome_a__placeholder_3RZ\" href=\"/3917486205/267797267\" rel=\"noopener noreferrer\" target=\"_blank\" data-analytics=\"23\" data-analytics-page=\"500\" text=\"2\"> </a><h3><a href=\"/3917486205/267797267\" rel=\"noopener noreferrer\" target=\"_blank\" data-analytics=\"23\" data-analytics-page=\"500\"></a></h3><p>2024年阿尔法姐姐的投资策略：<br/>1，展望2024年A股市场没有系统性风险，市场整体运行趋势要好于2023年，但对个股的投资不能依赖于大盘的整体上涨。需要精选个股，成长股好于价值股，小市值股票好于大市值股票。<br/>2，2024年阿尔法姐姐会精选个股基本面实现困境反转的标的，这类标的的特点是股...</p><div class=\"AnonymousHome_home__timeline__item__ft_2zy\"><div class=\"AnonymousHome_auchor_1RR\"><a class=\"AnonymousHome_avatar_1W- AnonymousHome_avatar-sm_3FY\" href=\"/3917486205\" rel=\"noopener noreferrer\" target=\"_blank\"><div style=\"height:24px\" class=\"lazyload-placeholder\"></div></a><a class=\"AnonymousHome_user-name_3wN\" href=\"/3917486205\" rel=\"noopener noreferrer\" target=\"_blank\">阿尔法姐姐</a><span> </span><span>2小时前</span></div></div></div><div class=\"AnonymousHome_home__timeline__item_3vU\"><a class=\"AnonymousHome_a__placeholder_3RZ\" href=\"/7203131521/267776541\" rel=\"noopener noreferrer\" target=\"_blank\" data-analytics=\"23\" data-analytics-page=\"500\" text=\"2\"> </a><h3><a href=\"/7203131521/267776541\" rel=\"noopener noreferrer\" target=\"_blank\" data-analytics=\"23\" data-analytics-page=\"500\"></a></h3><p>从这两天持续超预期走势可以看出来，中文已经跟短线逻辑分离了。<br/>这两天的冲高回落也是源自于此，短线资金止盈，趋势资金入驻。<br/>6号开始的主升是源自于资金挖掘出来reelshort这个超级应用，高频数据证实reelshort下载量持续超预期，并且在周末达到巅峰。<br/>13号开始的第二周资金都是围绕...</p><div class=\"AnonymousHome_home__timeline__item__ft_2zy\"><div class=\"AnonymousHome_auchor_1RR\"><a class=\"AnonymousHome_avatar_1W- AnonymousHome_avatar-sm_3FY\" href=\"/7203131521\" rel=\"noopener noreferrer\" target=\"_blank\"><div style=\"height:24px\" class=\"lazyload-placeholder\"></div></a><a class=\"AnonymousHome_user-name_3wN\" href=\"/7203131521\" rel=\"noopener noreferrer\" target=\"_blank\">Augustusss</a><span> </span><span>4小时前</span></div></div></div><div class=\"AnonymousHome_home__timeline__item_3vU\"><a class=\"AnonymousHome_a__placeholder_3RZ\" href=\"/8699572373/267782491\" rel=\"noopener noreferrer\" target=\"_blank\" data-analytics=\"23\" data-analytics-page=\"500\" text=\"2\"> </a><h3><a href=\"/8699572373/267782491\" rel=\"noopener noreferrer\" target=\"_blank\" data-analytics=\"23\" data-analytics-page=\"500\"></a></h3><p><a href=\"http://xueqiu.com/S/SH600863\" target=\"_blank\">$内蒙华电(SH600863)$</a> 内蒙华电现在其他都明牌了。现在大家最关心的是四季度的业绩。我们可以参考三季度。三季度除去投资收益，大概就是5.5亿。四季度应该煤价和电价应该是优于三季度，不过考虑到供暖，还有个别意想不到的减值。我们四季度预期净利润打个8折，在4.4亿左右。全面应该是在26亿左右。...</p><div class=\"AnonymousHome_home__timeline__item__ft_2zy\"><div class=\"AnonymousHome_auchor_1RR\"><a class=\"AnonymousHome_avatar_1W- AnonymousHome_avatar-sm_3FY\" href=\"/8699572373\" rel=\"noopener noreferrer\" target=\"_blank\"><div style=\"height:24px\" class=\"lazyload-placeholder\"></div></a><a class=\"AnonymousHome_user-name_3wN\" href=\"/8699572373\" rel=\"noopener noreferrer\" target=\"_blank\">Bruce-lim</a><span> </span><span>3小时前</span></div></div></div><div class=\"AnonymousHome_home__timeline__item_3vU\"><a class=\"AnonymousHome_a__placeholder_3RZ\" href=\"/6501187620/267795659\" rel=\"noopener noreferrer\" target=\"_blank\" data-analytics=\"23\" data-analytics-page=\"500\" text=\"2\"> </a><h3><a href=\"/6501187620/267795659\" rel=\"noopener noreferrer\" target=\"_blank\" data-analytics=\"23\" data-analytics-page=\"500\"></a></h3><p>快手这波财报挺给力的，基本上超过机构的预测上限了，短视频上限太高了，想要盈利太容易了。<br/>说几个点：<br/>1. Q3继续盈利。经调整净利润达人民币31.7亿元，较Q2数据环比增长17.8%，大幅超过彭博市场一致预期的26.6亿元。<br/>2. 用户规模再创新高。日活用户同比增长6.4%达3.87亿，平均月活跃...</p><div class=\"AnonymousHome_home__timeline__item__ft_2zy\"><div class=\"AnonymousHome_auchor_1RR\"><a class=\"AnonymousHome_avatar_1W- AnonymousHome_avatar-sm_3FY\" href=\"/6501187620\" rel=\"noopener noreferrer\" target=\"_blank\"><div style=\"height:24px\" class=\"lazyload-placeholder\"></div></a><a class=\"AnonymousHome_user-name_3wN\" href=\"/6501187620\" rel=\"noopener noreferrer\" target=\"_blank\">吴知中</a><span> </span><span>2小时前</span></div></div></div><div class=\"AnonymousHome_home__timeline__item_3vU\"><a class=\"AnonymousHome_a__placeholder_3RZ\" href=\"/4015596010/267660744\" rel=\"noopener noreferrer\" target=\"_blank\" data-analytics=\"23\" data-analytics-page=\"500\" text=\"2\"> </a><h3><a href=\"/4015596010/267660744\" rel=\"noopener noreferrer\" target=\"_blank\" data-analytics=\"23\" data-analytics-page=\"500\"></a></h3><p>刚刚，一位刚入市一年多的股友，准备全职炒股了！<br/>这种股友，24岁，去年大学毕业，在某炒股软件公司上班一年，学习了各种选股技术！<br/>七月份腰斩之后，九月份用两万做到现在3.4万！<br/>不到三个月时间，赚了70%，现在准备全职炒股了！<br/>我给他说了五点<br/>一:你的第一年经历和我很相似...</p><div class=\"AnonymousHome_home__timeline__item__ft_2zy\"><div class=\"AnonymousHome_auchor_1RR\"><a class=\"AnonymousHome_avatar_1W- AnonymousHome_avatar-sm_3FY\" href=\"/4015596010\" rel=\"noopener noreferrer\" target=\"_blank\"><div style=\"height:24px\" class=\"lazyload-placeholder\"></div></a><a class=\"AnonymousHome_user-name_3wN\" href=\"/4015596010\" rel=\"noopener noreferrer\" target=\"_blank\">好习惯终生受用</a><span> </span><span>昨天21:01</span></div></div></div><div class=\"AnonymousHome_home__timeline__item_3vU\"><a class=\"AnonymousHome_a__placeholder_3RZ\" href=\"/5545011370/267791524\" rel=\"noopener noreferrer\" target=\"_blank\" data-analytics=\"23\" data-analytics-page=\"500\" text=\"2\"> </a><h3><a href=\"/5545011370/267791524\" rel=\"noopener noreferrer\" target=\"_blank\" data-analytics=\"23\" data-analytics-page=\"500\"></a></h3><p><a href=\"http://xueqiu.com/n/一只特立独行的猪xz\" target=\"_blank\">@一只特立独行的猪xz</a>:人民币的升值和美债的下跌并没有反应到这次的权重股中，说明信的人非常少。ah溢价指数又来到了10.24底部。<br/>相比于去年升值之后立马反应，这次并没有反应，说明大多数人这次选择了不相信它的持续性。<br/>汇率这次从11.1日至今从7.33升值到7.13，沪深300没有上涨而是横盘。...</p><div class=\"AnonymousHome_home__timeline__item__ft_2zy\"><div class=\"AnonymousHome_auchor_1RR\"><a class=\"AnonymousHome_avatar_1W- AnonymousHome_avatar-sm_3FY\" href=\"/traveller1985\" rel=\"noopener noreferrer\" target=\"_blank\"><div style=\"height:24px\" class=\"lazyload-placeholder\"></div></a><a class=\"AnonymousHome_user-name_3wN\" href=\"/traveller1985\" rel=\"noopener noreferrer\" target=\"_blank\">一只特立独行的猪xz</a><span> </span><span>2小时前</span></div></div></div><div class=\"AnonymousHome_home__timeline__item_3vU\"><a class=\"AnonymousHome_a__placeholder_3RZ\" href=\"/9136627432/267711289\" rel=\"noopener noreferrer\" target=\"_blank\" data-analytics=\"23\" data-analytics-page=\"500\" text=\"2\"> </a><h3><a href=\"/9136627432/267711289\" rel=\"noopener noreferrer\" target=\"_blank\" data-analytics=\"23\" data-analytics-page=\"500\"></a></h3><p>2022年我国出生人口956万人，比2021年减少106万人。人口出生率为6.77‰，比2021年下降0.75个千分点。2022年有9个省份的人口出生率超过千分之八（8‰）；有20个省份人口自然增长率（人口自然增加数（出生人数-死亡人数）/同期平均总人口数）为负，比上一年增加7个。在人口出生率方面，有14个省份超...</p><div class=\"AnonymousHome_home__timeline__item__ft_2zy\"><div class=\"AnonymousHome_auchor_1RR\"><a class=\"AnonymousHome_avatar_1W- AnonymousHome_avatar-sm_3FY\" href=\"/9136627432\" rel=\"noopener noreferrer\" target=\"_blank\"><div style=\"height:24px\" class=\"lazyload-placeholder\"></div></a><a class=\"AnonymousHome_user-name_3wN\" href=\"/9136627432\" rel=\"noopener noreferrer\" target=\"_blank\">临渊巷13号</a><span> </span><span>9小时前</span></div></div></div><div class=\"AnonymousHome_home__timeline__item_3vU\"><a class=\"AnonymousHome_a__placeholder_3RZ\" href=\"/1470368641/267781336\" rel=\"noopener noreferrer\" target=\"_blank\" data-analytics=\"23\" data-analytics-page=\"500\" text=\"2\"> </a><h3><a href=\"/1470368641/267781336\" rel=\"noopener noreferrer\" target=\"_blank\" data-analytics=\"23\" data-analytics-page=\"500\"></a></h3><p>今天的行情，但凡有点经验的人都能看出，上午放量滞涨，冲关失败，下午现场反水，反手做空了。<br/>两市接近万亿的量能扑了个寂寞。就是指数冲关的时候，还是普跌格局。<br/>所以没有半点冲关的样子，权重板块尤其是券商的拉升，很明显就是佯攻。<br/>目前已经是两次冲关失败，一鼓作气、再而衰、...</p><div class=\"AnonymousHome_home__timeline__item__ft_2zy\"><div class=\"AnonymousHome_auchor_1RR\"><a class=\"AnonymousHome_avatar_1W- AnonymousHome_avatar-sm_3FY\" href=\"/1470368641\" rel=\"noopener noreferrer\" target=\"_blank\"><div style=\"height:24px\" class=\"lazyload-placeholder\"></div></a><a class=\"AnonymousHome_user-name_3wN\" href=\"/1470368641\" rel=\"noopener noreferrer\" target=\"_blank\">离火之年买航空航天</a><span> </span><span>4小时前</span></div></div></div><div class=\"AnonymousHome_home__timeline__item_3vU\"><a class=\"AnonymousHome_a__placeholder_3RZ\" href=\"/9498737718/267744092\" rel=\"noopener noreferrer\" target=\"_blank\" data-analytics=\"23\" data-analytics-page=\"500\" text=\"2\"> </a><h3><a href=\"/9498737718/267744092\" rel=\"noopener noreferrer\" target=\"_blank\" data-analytics=\"23\" data-analytics-page=\"500\"></a></h3><p>【寻找伴随一生的好公司】 巴菲特声称，“如果我们拥有3家伟大的公司，出色的企业，它可能伴随我们一生。<br/>根据好公司的定义，好公司能够继续好30年，但假如一家公司只能好3年，那就不是好公司。”<br/>所以作为普通的投资人来说，我们最好的办法，就只选取巴菲特最热衷的核心方法就可以，不用...</p><div class=\"AnonymousHome_home__timeline__item__ft_2zy\"><div class=\"AnonymousHome_auchor_1RR\"><a class=\"AnonymousHome_avatar_1W- AnonymousHome_avatar-sm_3FY\" href=\"/zltz\" rel=\"noopener noreferrer\" target=\"_blank\"><div style=\"height:24px\" class=\"lazyload-placeholder\"></div></a><a class=\"AnonymousHome_user-name_3wN\" href=\"/zltz\" rel=\"noopener noreferrer\" target=\"_blank\">厚恩投资张延昆</a><span> </span><span>7小时前</span></div></div></div><div class=\"AnonymousHome_home__timeline__item_3vU\"><a class=\"AnonymousHome_a__placeholder_3RZ\" href=\"/1617333215/267790064\" rel=\"noopener noreferrer\" target=\"_blank\" data-analytics=\"23\" data-analytics-page=\"500\" text=\"2\"> </a><h3><a href=\"/1617333215/267790064\" rel=\"noopener noreferrer\" target=\"_blank\" data-analytics=\"23\" data-analytics-page=\"500\"></a></h3><p>今天上证冲击了60日线，借助美股的反弹利好，结果大家也看见了，又是高开低走被砸下来，60日线很关键，如果是反弹，基本这里就是最重要的决定位置，放量过去，反弹变反转，如果屡次三番受阻，则会反弹结束，二次探底；从今天的走势看，不是很乐观，放量的阴线受阻于60日线，说明大资金不认可会很快...</p><div class=\"AnonymousHome_home__timeline__item__ft_2zy\"><div class=\"AnonymousHome_auchor_1RR\"><a class=\"AnonymousHome_avatar_1W- AnonymousHome_avatar-sm_3FY\" href=\"/1617333215\" rel=\"noopener noreferrer\" target=\"_blank\"><div style=\"height:24px\" class=\"lazyload-placeholder\"></div></a><a class=\"AnonymousHome_user-name_3wN\" href=\"/1617333215\" rel=\"noopener noreferrer\" target=\"_blank\">好股要重仓</a><span> </span><span>3小时前</span></div></div></div><div class=\"AnonymousHome_home__timeline__item_3vU\"><a class=\"AnonymousHome_a__placeholder_3RZ\" href=\"/2386334596/267799130\" rel=\"noopener noreferrer\" target=\"_blank\" data-analytics=\"23\" data-analytics-page=\"500\" text=\"2\"> </a><h3><a href=\"/2386334596/267799130\" rel=\"noopener noreferrer\" target=\"_blank\" data-analytics=\"23\" data-analytics-page=\"500\"></a></h3><p>九十年代中期毕业出来分配工作，那个时候从没想过要自己买房子，因为单位有房分，前提条件是娶一个有本地城市户籍的女孩做老婆，这样就可以保证分到房子。<br/>2000年后住房改革，没有赶上单位分房子的好时光，只能自己供房子。最后来看也没亏，因为买的房子比单位分的房子在环境和房型上都好很多...</p><div class=\"AnonymousHome_home__timeline__item__ft_2zy\"><div class=\"AnonymousHome_auchor_1RR\"><a class=\"AnonymousHome_avatar_1W- AnonymousHome_avatar-sm_3FY\" href=\"/2386334596\" rel=\"noopener noreferrer\" target=\"_blank\"><div style=\"height:24px\" class=\"lazyload-placeholder\"></div></a><a class=\"AnonymousHome_user-name_3wN\" href=\"/2386334596\" rel=\"noopener noreferrer\" target=\"_blank\">大地任我行</a><span> </span><span>1小时前</span></div></div></div></div><a class=\"AnonymousHome_home__timeline__more_6RI\" hidden=\"\">加载更多</a><div class=\"AnonymousHome_loading_1z8\" hidden=\"\"><i 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\\u003Ca href=\\\"https:\\u002F\\u002Fxueqiu.com\\u002Faccount\\u002Flogin?url=%2Fsnowball-activity%2Fmeeting%2F52#step=1\\\" title=\\\"https:\\u002F\\u002Fxueqiu.com\\u002Faccount\\u002Flogin?url=%2Fsnowball-activity%2Fmeeting%2F52#step=1\\\" target=\\\"_blank\\\"\\u003E点击报名\\u003C\\u002Fa\\u003E\\u003C\\u002Fp\\u003E\\u003Cp\\u003E\\u003Cb\\u003E12月16日-17日\\u003C\\u002Fb\\u003E，盼望已久的2023\\u003Cb\\u003E雪球嘉年华\\u003C\\u002Fb\\u003E将在广州正式举行，快来现场与业内大咖近距离接触，畅聊后市的最新观点，发现更多投资好机会！\\u003C\\u002Fp\\u003E\\u003Cp\\u003E想知道嘉宾们是怎么看待后市的吗？12月16日上午，雪球嘉年华主会场活动中，\\u003Cb\\u003E中欧瑞博董事长兼首席投资官吴伟志\\u003C\\u002Fb\\u003E、\\u003Cb\\u003E点拾创始人朱昂\\u003C\\u002Fb\\u003E将围绕“\\u003Cb\\u003E等待结构牛\\u003C\\u002Fb\\u003E”现场分享最新投资观点，共同探讨2024投资机会跟投资策略。\\u003C\\u002Fp\\u003E\\u003Cp\\u003E我们在此也欢迎大家，聊聊面对即将到来的2024，\\u003Cb\\u003E你对行情怎么看？后市将采取哪些投资策略？看好哪些行业和方向？\\u003C\\u002Fb\\u003E快来下方评论区分享\\u003Cb\\u003E“我的2024投资策略”\\u003C\\u002Fb\\u003E，瓜分随机悬赏哦~\\u003C\\u002Fp\\u003E\\u003Cp\\u003E我们将在评论区抽取\\u003Cb\\u003E10\\u003C\\u002Fb\\u003E条优质留言，送出\\u003Cb\\u003E88元\\u003C\\u002Fb\\u003E的随机打赏！\\u003C\\u002Fp\\u003E\\u003Cp\\u003E\\u003Cb\\u003E【参与形式】\\u003C\\u002Fb\\u003E\\u003C\\u002Fp\\u003E\\u003Cp\\u003E分享你的“2024投资策略”，带话题标签\\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fk?q=%232023%E9%9B%AA%E7%90%83%E5%98%89%E5%B9%B4%E5%8D%8E%23\\\" target=\\\"_blank\\\"\\u003E#2023雪球嘉年华#\\u003C\\u002Fa\\u003E，评论并转发本帖。\\u003C\\u002Fp\\u003E\\u003Cp\\u003E\\u003Cb\\u003E【活动时间】\\u003C\\u002Fb\\u003E\\u003C\\u002Fp\\u003E\\u003Cp\\u003E11月21日-11月24日\\u003C\\u002Fp\\u003E\\u003Cp\\u003E\\u003Cimg src=\\\"https:\\u002F\\u002Fxqimg.imedao.com\\u002F18bf10050aa25e223fdc0df1.jpg!800.jpg\\\" class=\\\"ke_img\\\" \\u003E\\u003C\\u002Fp\\u003E\\u003Cp\\u003E\\u003Cb\\u003E嘉宾过往精彩观点回顾~\\u003C\\u002Fb\\u003E\\u003C\\u002Fp\\u003E\\u003Cp\\u003E\\u003Cb\\u003E吴伟志 ：\\u003C\\u002Fb\\u003E\\u003C\\u002Fp\\u003E\\u003Cp\\u003E8月9日，吴伟志在2023年中期策略会中分享道：“\\u003Cb\\u003E当下的政策导向清晰有力\\u003C\\u002Fb\\u003E，不必怀疑，唯一的悬念是政策底到市场底的时间和空间，黎明前的黑暗要熬一熬。”\\u003C\\u002Fp\\u003E\\u003Cp\\u003E\\u003Cb\\u003E朱昂 ：\\u003C\\u002Fb\\u003E\\u003C\\u002Fp\\u003E\\u003Cp\\u003E当你把钱拿去买基金后，还有一个好处是你有了大量的时间，其实我们人生最宝贵的就是时间。\\u003Cb\\u003E当你有了时间可以做自己喜欢的事情，可以陪伴自己喜欢的人。\\u003C\\u002Fb\\u003E\\u003C\\u002Fp\\u003E\\u003Cp\\u003E\\u003Cb\\u003E【规则须知】\\u003C\\u002Fb\\u003E\\u003C\\u002Fp\\u003E\\u003Cp\\u003E1.发帖请注意遵守《雪球社区守则》；\\u003C\\u002Fp\\u003E\\u003Cp\\u003E2.投稿须知：\\u003C\\u002Fp\\u003E\\u003Cp\\u003E（1）投稿用户（以下简称“您”）在本活动中向雪球提供的内容（包括但不限于图片、文字、图表等)均应为投稿用户原创，参考资料需注明出处。严禁抄袭、剽窃，一旦发现将取消参赛资格；\\u003C\\u002Fp\\u003E\\u003Cp\\u003E（2）投稿用户同意授予雪球获得您投稿的全部内容（含入选及未入选的内容）之免费的、永久性的、非独家的、可转授权的权利和许可。为流量激励及促进内容传播之目的，雪球有权将您投稿的内容用于包括但不限于：在微信公众号、微博、今日头条等平台的雪球官号上同步发布；将内容登载至《雪球专刊》并上传至各大平台供广大用户下载传阅；将内容传播至其他合法渠道；\\u003C\\u002Fp\\u003E\\u003Cp\\u003E3.活动最终解释权在法律范围内归雪球所有。\\u003C\\u002Fp\\u003E\\u003Cp\\u003E\\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fk?q=%232023%E9%9B%AA%E7%90%83%E5%98%89%E5%B9%B4%E5%8D%8E%23\\\" target=\\\"_blank\\\"\\u003E#2023雪球嘉年华#\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fk?q=%232023%E9%9B%AA%E7%90%83%E5%A5%96%23\\\" target=\\\"_blank\\\"\\u003E#2023雪球奖#\\u003C\\u002Fa\\u003E\\u003C\\u002Fp\\u003E\\u003Cp\\u003E\\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002F黄建平\\\" target=\\\"_blank\\\"\\u003E@黄建平\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002F山行\\\" target=\\\"_blank\\\"\\u003E@山行\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002F肖志刚\\\" target=\\\"_blank\\\"\\u003E@肖志刚\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002FHIS1963\\\" target=\\\"_blank\\\"\\u003E@HIS1963\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002F孥孥的大树\\\" target=\\\"_blank\\\"\\u003E@孥孥的大树\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002F郭荆璞\\\" target=\\\"_blank\\\"\\u003E@郭荆璞\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002F群兽中的一只猫\\\" target=\\\"_blank\\\"\\u003E@群兽中的一只猫\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002F黑貔貅俱乐部\\\" target=\\\"_blank\\\"\\u003E@黑貔貅俱乐部\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002F因歪斯汀_小明\\\" target=\\\"_blank\\\"\\u003E@因歪斯汀_小明\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002F汤诗语\\\" target=\\\"_blank\\\"\\u003E@汤诗语\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002F看好股市的新人\\\" target=\\\"_blank\\\"\\u003E@看好股市的新人\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002F月风_投资笔记\\\" target=\\\"_blank\\\"\\u003E@月风_投资笔记\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002F胡锡进\\\" target=\\\"_blank\\\"\\u003E@胡锡进\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002F陈嘉禾\\\" target=\\\"_blank\\\"\\u003E@陈嘉禾\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002F就叫姜诚\\\" target=\\\"_blank\\\"\\u003E@就叫姜诚\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002FVeget\\\" target=\\\"_blank\\\"\\u003E@Veget\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002F飞翔的小乌龟\\\" target=\\\"_blank\\\"\\u003E@飞翔的小乌龟\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002F舒九\\\" target=\\\"_blank\\\"\\u003E@舒九\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002F盛丰衍\\\" target=\\\"_blank\\\"\\u003E@盛丰衍\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002F叶秋的投资哲学\\\" target=\\\"_blank\\\"\\u003E@叶秋的投资哲学\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002F挚爱子洲\\\" target=\\\"_blank\\\"\\u003E@挚爱子洲\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002Fi知府\\\" target=\\\"_blank\\\"\\u003E@i知府\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002F痛快舒畅\\\" target=\\\"_blank\\\"\\u003E@痛快舒畅\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002F扫地僧司马懿\\\" target=\\\"_blank\\\"\\u003E@扫地僧司马懿\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002F巴芒实践者\\\" target=\\\"_blank\\\"\\u003E@巴芒实践者\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002FDAVID自由之路\\\" target=\\\"_blank\\\"\\u003E@DAVID自由之路\\u003C\\u002Fa\\u003E\\u003C\\u002Fp\\u003E\\u003Cp\\u003E\\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002F归纳与演绎\\\" target=\\\"_blank\\\"\\u003E@归纳与演绎\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002F华尔街卖面窝\\\" target=\\\"_blank\\\"\\u003E@华尔街卖面窝\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002F盛衰有道\\\" target=\\\"_blank\\\"\\u003E@盛衰有道\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002F爱者之贻bit\\\" target=\\\"_blank\\\"\\u003E@爱者之贻bit\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002F大川成长投资价值\\\" target=\\\"_blank\\\"\\u003E@大川成长投资价值\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002F颜值能破一万点\\\" target=\\\"_blank\\\"\\u003E@颜值能破一万点\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002F浊静徐清\\\" target=\\\"_blank\\\"\\u003E@浊静徐清\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002F卡爾妹\\\" target=\\\"_blank\\\"\\u003E@卡爾妹\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002F躺红利摊转债\\\" target=\\\"_blank\\\"\\u003E@躺红利摊转债\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002F酒金岁月\\\" 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target=\\\"_blank\\\"\\u003E点击报名\\u003C\\u002Fa\\u003E\\u003C\\u002Fp\\u003E\\u003Cp\\u003E\\u003Cb\\u003E12月16日-17日\\u003C\\u002Fb\\u003E，盼望已久的2023\\u003Cb\\u003E雪球嘉年华\\u003C\\u002Fb\\u003E将在广州正式举行，快来现场与业内大咖近距离接触，畅聊后市的最新观点，发现更多投资好机会！\\u003C\\u002Fp\\u003E\\u003Cp\\u003E想知道嘉宾们是怎么看待后市的吗？12月16日上午，雪球嘉年华主会场活动中，\\u003Cb\\u003E中欧瑞博董事长兼首席投资官吴伟志\\u003C\\u002Fb\\u003E、\\u003Cb\\u003E点拾创始人朱昂\\u003C\\u002Fb\\u003E将围绕“\\u003Cb\\u003E等待结构牛\\u003C\\u002Fb\\u003E”现场分享最新投资观点，共同探讨2024投资机会跟投资策略。\\u003C\\u002Fp\\u003E\\u003Cp\\u003E我们在此也欢迎大家，聊聊面对即将到来的2024，\\u003Cb\\u003E你对行情怎么看？后市将采取哪些投资策略？看好哪些行业和方向？\\u003C\\u002Fb\\u003E快来下方评论区分享\\u003Cb\\u003E“我的2024投资策略”\\u003C\\u002Fb\\u003E，瓜分随机悬赏哦~\\u003C\\u002Fp\\u003E\\u003Cp\\u003E我们将在评论区抽取\\u003Cb\\u003E10\\u003C\\u002Fb\\u003E条优质留言，送出\\u003Cb\\u003E88元\\u003C\\u002Fb\\u003E的随机打赏！\\u003C\\u002Fp\\u003E\\u003Cp\\u003E\\u003Cb\\u003E【参与形式】\\u003C\\u002Fb\\u003E\\u003C\\u002Fp\\u003E\\u003Cp\\u003E分享你的“2024投资策略”，带话题标签\\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fk?q=%232023%E9%9B%AA%E7%90%83%E5%98%89%E5%B9%B4%E5%8D%8E%23\\\" target=\\\"_blank\\\"\\u003E#2023雪球嘉年华#\\u003C\\u002Fa\\u003E，评论并转发本帖。\\u003C\\u002Fp\\u003E\\u003Cp\\u003E\\u003Cb\\u003E【活动时间】\\u003C\\u002Fb\\u003E\\u003C\\u002Fp\\u003E\\u003Cp\\u003E11月21日-11月24日\\u003C\\u002Fp\\u003E\\u003Cp\\u003E\\u003Cimg src=\\\"https:\\u002F\\u002Fxqimg.imedao.com\\u002F18bf10050aa25e223fdc0df1.jpg!800.jpg\\\" class=\\\"ke_img\\\" \\u003E\\u003C\\u002Fp\\u003E\\u003Cp\\u003E\\u003Cb\\u003E嘉宾过往精彩观点回顾~\\u003C\\u002Fb\\u003E\\u003C\\u002Fp\\u003E\\u003Cp\\u003E\\u003Cb\\u003E吴伟志 ：\\u003C\\u002Fb\\u003E\\u003C\\u002Fp\\u003E\\u003Cp\\u003E8月9日，吴伟志在2023年中期策略会中分享道：“\\u003Cb\\u003E当下的政策导向清晰有力\\u003C\\u002Fb\\u003E，不必怀疑，唯一的悬念是政策底到市场底的时间和空间，黎明前的黑暗要熬一熬。”\\u003C\\u002Fp\\u003E\\u003Cp\\u003E\\u003Cb\\u003E朱昂 ：\\u003C\\u002Fb\\u003E\\u003C\\u002Fp\\u003E\\u003Cp\\u003E当你把钱拿去买基金后，还有一个好处是你有了大量的时间，其实我们人生最宝贵的就是时间。\\u003Cb\\u003E当你有了时间可以做自己喜欢的事情，可以陪伴自己喜欢的人。\\u003C\\u002Fb\\u003E\\u003C\\u002Fp\\u003E\\u003Cp\\u003E\\u003Cb\\u003E【规则须知】\\u003C\\u002Fb\\u003E\\u003C\\u002Fp\\u003E\\u003Cp\\u003E1.发帖请注意遵守《雪球社区守则》；\\u003C\\u002Fp\\u003E\\u003Cp\\u003E2.投稿须知：\\u003C\\u002Fp\\u003E\\u003Cp\\u003E（1）投稿用户（以下简称“您”）在本活动中向雪球提供的内容（包括但不限于图片、文字、图表等)均应为投稿用户原创，参考资料需注明出处。严禁抄袭、剽窃，一旦发现将取消参赛资格；\\u003C\\u002Fp\\u003E\\u003Cp\\u003E（2）投稿用户同意授予雪球获得您投稿的全部内容（含入选及未入选的内容）之免费的、永久性的、非独家的、可转授权的权利和许可。为流量激励及促进内容传播之目的，雪球有权将您投稿的内容用于包括但不限于：在微信公众号、微博、今日头条等平台的雪球官号上同步发布；将内容登载至《雪球专刊》并上传至各大平台供广大用户下载传阅；将内容传播至其他合法渠道；\\u003C\\u002Fp\\u003E\\u003Cp\\u003E3.活动最终解释权在法律范围内归雪球所有。\\u003C\\u002Fp\\u003E\\u003Cp\\u003E\\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fk?q=%232023%E9%9B%AA%E7%90%83%E5%98%89%E5%B9%B4%E5%8D%8E%23\\\" target=\\\"_blank\\\"\\u003E#2023雪球嘉年华#\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fk?q=%232023%E9%9B%AA%E7%90%83%E5%A5%96%23\\\" target=\\\"_blank\\\"\\u003E#2023雪球奖#\\u003C\\u002Fa\\u003E\\u003C\\u002Fp\\u003E\\u003Cp\\u003E\\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002F黄建平\\\" target=\\\"_blank\\\"\\u003E@黄建平\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002F山行\\\" target=\\\"_blank\\\"\\u003E@山行\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002F肖志刚\\\" target=\\\"_blank\\\"\\u003E@肖志刚\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002FHIS1963\\\" target=\\\"_blank\\\"\\u003E@HIS1963\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002F孥孥的大树\\\" target=\\\"_blank\\\"\\u003E@孥孥的大树\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002F郭荆璞\\\" target=\\\"_blank\\\"\\u003E@郭荆璞\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002F群兽中的一只猫\\\" target=\\\"_blank\\\"\\u003E@群兽中的一只猫\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002F黑貔貅俱乐部\\\" target=\\\"_blank\\\"\\u003E@黑貔貅俱乐部\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002F因歪斯汀_小明\\\" target=\\\"_blank\\\"\\u003E@因歪斯汀_小明\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002F汤诗语\\\" target=\\\"_blank\\\"\\u003E@汤诗语\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002F看好股市的新人\\\" target=\\\"_blank\\\"\\u003E@看好股市的新人\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002F月风_投资笔记\\\" target=\\\"_blank\\\"\\u003E@月风_投资笔记\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002F胡锡进\\\" target=\\\"_blank\\\"\\u003E@胡锡进\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002F陈嘉禾\\\" target=\\\"_blank\\\"\\u003E@陈嘉禾\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002F就叫姜诚\\\" target=\\\"_blank\\\"\\u003E@就叫姜诚\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002FVeget\\\" target=\\\"_blank\\\"\\u003E@Veget\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002F飞翔的小乌龟\\\" target=\\\"_blank\\\"\\u003E@飞翔的小乌龟\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002F舒九\\\" target=\\\"_blank\\\"\\u003E@舒九\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002F盛丰衍\\\" target=\\\"_blank\\\"\\u003E@盛丰衍\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002F叶秋的投资哲学\\\" target=\\\"_blank\\\"\\u003E@叶秋的投资哲学\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002F挚爱子洲\\\" target=\\\"_blank\\\"\\u003E@挚爱子洲\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002Fi知府\\\" target=\\\"_blank\\\"\\u003E@i知府\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002F痛快舒畅\\\" target=\\\"_blank\\\"\\u003E@痛快舒畅\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002F扫地僧司马懿\\\" target=\\\"_blank\\\"\\u003E@扫地僧司马懿\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002F巴芒实践者\\\" target=\\\"_blank\\\"\\u003E@巴芒实践者\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002FDAVID自由之路\\\" target=\\\"_blank\\\"\\u003E@DAVID自由之路\\u003C\\u002Fa\\u003E\\u003C\\u002Fp\\u003E\\u003Cp\\u003E\\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002F归纳与演绎\\\" target=\\\"_blank\\\"\\u003E@归纳与演绎\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002F华尔街卖面窝\\\" target=\\\"_blank\\\"\\u003E@华尔街卖面窝\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002F盛衰有道\\\" target=\\\"_blank\\\"\\u003E@盛衰有道\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002F爱者之贻bit\\\" target=\\\"_blank\\\"\\u003E@爱者之贻bit\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002F大川成长投资价值\\\" target=\\\"_blank\\\"\\u003E@大川成长投资价值\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002F颜值能破一万点\\\" target=\\\"_blank\\\"\\u003E@颜值能破一万点\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002F浊静徐清\\\" target=\\\"_blank\\\"\\u003E@浊静徐清\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002F卡爾妹\\\" target=\\\"_blank\\\"\\u003E@卡爾妹\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002F躺红利摊转债\\\" target=\\\"_blank\\\"\\u003E@躺红利摊转债\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002F酒金岁月\\\" target=\\\"_blank\\\"\\u003E@酒金岁月\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002F闪电考拉\\\" target=\\\"_blank\\\"\\u003E@闪电考拉\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002Fericwarn丁宁\\\" target=\\\"_blank\\\"\\u003E@ericwarn丁宁\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002Fdollar_zhang\\\" target=\\\"_blank\\\"\\u003E@dollar_zhang\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002F钓鱼蜜-泽北荣志\\\" target=\\\"_blank\\\"\\u003E@钓鱼蜜-泽北荣志\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002F战斗吧贾维思\\\" target=\\\"_blank\\\"\\u003E@战斗吧贾维思\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002F余生的江湖\\\" target=\\\"_blank\\\"\\u003E@余生的江湖\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002F张玄机\\\" target=\\\"_blank\\\"\\u003E@张玄机\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002F时光投资-Edward\\\" target=\\\"_blank\\\"\\u003E@时光投资-Edward\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002F二郎价投\\\" target=\\\"_blank\\\"\\u003E@二郎价投\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002F数据价投\\\" target=\\\"_blank\\\"\\u003E@数据价投\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002FPoloYu\\\" target=\\\"_blank\\\"\\u003E@PoloYu\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002F狸哥很懒\\\" target=\\\"_blank\\\"\\u003E@狸哥很懒\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002F太原\\\" target=\\\"_blank\\\"\\u003E@太原\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002F云洁的宏观对冲\\\" target=\\\"_blank\\\"\\u003E@云洁的宏观对冲\\u003C\\u002Fa\\u003E \\u003Ca href=\\\"http:\\u002F\\u002Fxueqiu.com\\u002Fn\\u002F散装基精经理\\\" 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      "<script async data-chunk=\"home\" src=\"//assets.imedao.com/ugc/js/vendors-account-logout-anchor_apply-announcement-appeal_report-appeal_report_mobile-appeal_tort_mobi-39c6fc4d.83f913a5b2.js\"></script>\n",
      "<script async data-chunk=\"home\" src=\"//assets.imedao.com/ugc/js/vendors-appeal_report-article_mobile-article_web-change_info-comment_mobile-complain_index-complain_-9678a0f1.273fc86f72.js\"></script>\n",
      "<script async data-chunk=\"home\" src=\"//assets.imedao.com/ugc/js/vendors-account-logout-article_mobile-article_web-demo_cube_status-fund_info-fund_relocate_history-h-56d54c5b.69af4604d7.js\"></script>\n",
      "<script async data-chunk=\"home\" src=\"//assets.imedao.com/ugc/js/vendors-announcement-calendar-comment_mobile-dividends-fund_history-fund_relocate-fund_relocate_hist-be87b2fe.060dba885b.js\"></script>\n",
      "<script async data-chunk=\"home\" src=\"//assets.imedao.com/ugc/js/home.753532faa9.js\"></script>\n",
      "        \n",
      "        \n",
      "        <script>var _hmt=_hmt || []; (function(){var hm=document.createElement(\"script\"); hm.src=\"//hm.baidu.com/hm.js?1db88642e346389874251b5a1eded6e3\"; var s=document.getElementsByTagName(\"script\")[0]; s.parentNode.insertBefore(hm, s);})();</script>\n",
      "      </body>\n",
      "    </html>\n"
     ]
    }
   ],
   "source": [
    "### 使用 GET 方式抓取数据\n",
    "import requests                            # 导入requests包\n",
    "url = 'https://xueqiu.com/'                \n",
    "  # URL（Uniform Resource Locator, 统一资源定位器）。\n",
    "  #     它是www的统一资源定位标志，简单地说URL就是web地址，俗称“网址”。\n",
    "  #     url是通过http协议存取资源的一个路径，它就像我们电脑里面的一个文件的路径一样。\n",
    "  #     https://blog.csdn.net/weixin_53436351/article/details/123833107\n",
    "headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:109.0) Gecko/20100101 Firefox/119.0'}\n",
    "res = requests.get(url, headers = headers) # request.get 获取HTML网页的主要方法，对应于HTTP的GET\n",
    "\n",
    "res.encoding = 'utf-8'                     # 保证中文的显示\n",
    "print(res.text)                                   # print(res.text)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### BeautifulSoup\n",
    "\n",
    "就是一个第三方的库，使用之前需要安装\n",
    "\n",
    "`pip install bs4`\n",
    "\n",
    "`pip install lxml`\n",
    "\n",
    "- bs4是什麽？\n",
    "\n",
    "它的作用是能够快速方便简单的提取网页中指定的内容，给我一个网页字符串，然后使用它的接口将网页字符串生成一个对象，然后通过这个对象的方法来提取数据\n",
    "\n",
    "- lxml是什麽？\n",
    "\n",
    "lxml是一个解析器，也是下面的xpath要用到的库，bs4将网页字符串生成对象的时候需要用到解析器，就用lxml，或者使用官方自带的解析器 html.parser\n",
    "\n",
    "- XPath是什麽？\n",
    "\n",
    "用来确定XML(标准通用标记语言的子集)文档中某部分位置的语言。XPath基于XML的树状结构，有不同类型的节点，包括元素节点，属性节点和文本节点，提供在数据结构树中找寻节点的能力。跟BeautifulSoup4一样都是用来解析页面内容的工具，只不过使用方式有所不同而已。\n",
    "\n",
    "要想使用xpath，需要安装lxml： pip install lxml\n",
    "\n",
    "**一般步骤：**\n",
    "1. 通过requests库爬取html页面的内容\n",
    "2. 使用BeautifulSoup库对爬取到的html页面进行解析\n",
    "3. 使用BeautifulSoup以及正则表达式来进一步提取我们想要的关键信息\n",
    "4. 将信息格式化并输出\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 案例一：SINA 爬虫实例"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### 你可能需要安装 \n",
    "`conda install pymysql`\n",
    "`conda install mysqlclient`\n",
    "`conda install sqlalchemy`\n",
    "`cinda install requests`\n",
    "\n",
    "or\n",
    "\n",
    "`pip install pymysql`\n",
    "`pip install mysqlclient`\n",
    "`pip install sqlalchemy`\n",
    "`pip install requests`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 案例一：SINA 爬虫实例\n",
    "\n",
    "# 你可能需要安装 \n",
    "# pip install pymysql\n",
    "# pip install mysqlclient\n",
    "\n",
    "from urllib.parse import urlencode           \n",
    "    # 将存入的字典参数编码为URL查询字符串\n",
    "from urllib.request import urlopen,Request\n",
    "    # from urllib import request负责打开浏览url内的html文本\n",
    "    # urlopen：\n",
    "    # urlopen和requests.get方法都能满足最基本的爬取数据的需求，在这点上没有什么区别\n",
    "    # 但是在爬取一些安全性比较高的网站的时候，需要进行代理，用户等信息的设置，只能说requests.get设置起来更加方便\n",
    "    # requests.get和urlopen的比较；\n",
    "    #    https://blog.csdn.net/qq_41845823/article/details/119517519\n",
    "from urllib.error import URLError,HTTPError  \n",
    "    # urllib异常处理\n",
    "import json\n",
    "    # JSON是用于存储和交换数据的语法。JSON是使用JavaScript对象表示法编写的文本\n",
    "import time\n",
    "    # 该库中提供了对时间、日期进行操作的一些工具函数\n",
    "import pandas as pd\n",
    "    # Pandas是基于NumPy 的一种工具，该工具是为了解决数据分析任务而创建的。\n",
    "from sqlalchemy import create_engine\n",
    "    # 导入模块中的create_engine，需要利用它来进行连接数据库\n",
    "\n",
    "conn_sql = 'mysql+pymysql://root:123456@127.0.0.1:3306/test?charset=utf8'\n",
    "    # MySQL：目前SQLAlchemy支持几个主流的数据库engine之一\n",
    "conn = create_engine(conn_sql)\n",
    "    # 创建数据库\n",
    "\n",
    "def html_download(url):\n",
    "    headers = {\n",
    "            'User-Agent':'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:120.0) Gecko/20100101 Firefox/120.0',\n",
    "               }\n",
    "    request = Request(url,headers = headers)\n",
    "    try:\n",
    "        html = urlopen(request).read().decode()\n",
    "        # 爬取一些静态页面上的数据，直接用该对象的read()方法读出即可，可能涉及到转码。\n",
    "    except HTTPError as e:\n",
    "        html = None\n",
    "        print('请求服务器出错：%s'%e.reason)\n",
    "        return None\n",
    "    except URLError as e:\n",
    "        html = None\n",
    "        print('请求网页出错：%s'%e.reason)\n",
    "        return None\n",
    "    return html\n",
    " \n",
    "def json2df(json_results):\n",
    "    res = pd.DataFrame.from_records(json_results)\n",
    "        # 将数据转换为DataFrame。\n",
    "        #   https://www.cjavapy.com/article/228/\n",
    "    tags = []\n",
    "    for r in res.iterrows():\n",
    "        # df.iterrows( )：可以返回所有的行索引，以及该行的所有内容。\n",
    "        #   https://blog.csdn.net/Fwuyi/article/details/123421716\n",
    "        try:\n",
    "            tags.append(r[-1]['tag'][0]['name'])\n",
    "        except:\n",
    "            tags.append('其他')\n",
    "    x = res.loc[:,['id','commentid','creator','rich_text','update_time','zhibo_id']]\n",
    "        # iloc：使用顺序数字来索引数据。注意：这里的顺序数字是指从0开始计数！\n",
    "        # loc：使用实际设置的索引来索引数据。\n",
    "        # https://blog.csdn.net/weixin_42424208/article/details/121525540\n",
    "    x['tag'] = tags\n",
    "    return x\n",
    " \n",
    "def api_info_manager(page, zhibo_id = 152):\n",
    "    # http://zhibo.sina.com.cn/api/zhibo/feed?&page=1&page_size=100&zhibo_id=152\n",
    "    data = {\n",
    "            'page':page,\n",
    "            'page_size':100,\n",
    "            'zhibo_id':zhibo_id\n",
    "            }\n",
    "    dataformat = 'http://zhibo.sina.com.cn/api/zhibo/feed?' + urlencode(data)\n",
    "        # urlencode()：在Web程序中进行URL请求时，常会遇到URL中含有特殊字符的问题\n",
    "        #              就要对URL进行编码，用一种规则替换掉这些特殊字符，这就是URLEncode。\n",
    "    response = html_download(dataformat)\n",
    "    return json.loads(response,encoding = 'utf-8')['result']['data']['feed']['list']\n",
    "        # json.loads()：将str类型的数据转换为dict类型\n",
    "        #              json_results = json.dumps(json_results,ensure_ascii = False)\n",
    "        #              https://blog.csdn.net/weixin_43631296/article/details/105253434\n",
    "        # print(json_results)\n",
    "    \n",
    "def save_to_sql(res):\n",
    "    try:\n",
    "        r = res.sort_values(by='id', ascending = True)\n",
    "            # sort_values（）：排序。\n",
    "            #                  https://blog.csdn.net/MsSpark/article/details/83154128\n",
    "        # r.to_sql(name='sina_fin_news', con=conn, if_exists='append', index=False)\n",
    "        pd.io.sql.to_sql(r,'sina_fin_news', con=conn, schema='test', if_exists = 'append')\n",
    "            # You need a database named test \n",
    "            #   pd.io.sql.to_sql(dataframe,'table_name',con=conn,schema='test',if_exists='append')\n",
    "            #   利用pd的io中的sql的to_sql方法进行导入（记住不是pd的to_sql）\n",
    "            #   https://blog.csdn.net/hellocsz/article/details/82956673?ops_request_misc=&request_id=&biz_id=102&utm_term=.io.sql.to_sql&utm_medium=distribute.pc_search_result.none-task-blog-2~all~sobaiduweb~default-0-82956673.142^v93^insert_down28v1&spm=1018.2226.3001.4187\n",
    "        print('Successful!')\n",
    "    except Exception:\n",
    "        print('Fail')\n",
    "\n",
    "def update_sql(res):\n",
    "    try:\n",
    "        last_id = int(pd.read_sql_query('select id from sina_fin_news ORDER BY id desc LIMIT 1', conn).id)\n",
    "            #（1）read_sql_query（）中可以接受SQL语句，包括增删改查\n",
    "            #     https://blog.csdn.net/qq_36535820/article/details/99070149\n",
    "            #（2）int()：把不同进制的数字或数字字符串转为十进制整数\n",
    "            #            取整是简单截断，不是四舍五入,如int(1.5) = 1\n",
    "            #            https://blog.csdn.net/weixin_45462681/article/details/109064989        \n",
    "        in_list = res[res['id']>last_id]\n",
    "        new_l = in_list.sort_values(by='id', ascending = True)\n",
    "        # new_l.to_sql(name='sina_fin_news', con=conn, if_exists='append', index=False)\n",
    "        pd.io.sql.to_sql(new_l,'sina_fin_news', con=conn, schema='test', if_exists = 'append')\n",
    "            # 利用pd的io中的sql的to_sql方法进行导入（记住不是pd的to_sql）\n",
    "        print('{} items has been update Successed on {}'.format(len(new_l), time.strftime('%Y-%m-%d %H:%M:%S')))\n",
    "    except Exception:        \n",
    "        print('Fail to update on {}'.format(time.strftime('%Y-%m-%d %H:%M:%S')))\n",
    "    \n",
    "def main(page):\n",
    "    json_res = api_info_manager(page)\n",
    "    res = json2df(json_res)\n",
    "    save_to_sql(res)\n",
    "\n",
    "def updating():\n",
    "    while True:\n",
    "        json_res = api_info_manager(1)\n",
    "        res = json2df(json_res)\n",
    "        update_sql(res)\n",
    "        time.sleep(200)\n",
    "          # 使用time.sleep(seconds)使当前正在执行的Python程序进入睡眠或延迟几秒钟"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "main(1)\n",
    "# updating()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
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       "  'zhibo_id': 152,\n",
       "  'type': 0,\n",
       "  'rich_text': '加拿大贸易部长：在美国参议院就渥太华反对的电动汽车税收抵免进行投票之前，加拿大还有操作空间。',\n",
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       "  'rich_text': '【美国银行：标普500指数2022年可能回调10%，因美联储迈向加息】 美国银行策略师Savita Subramanian表示，美联储迈向加息将给股票投资者带来更大风险，2022年标普500指数回调10%的可能性“升高”。预计未来几年美联储会加息8次。',\n",
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       "  'compere_id': 0,\n",
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       "  'is_focus': 0,\n",
       "  'source_content_id': '0',\n",
       "  'anchor_image_url': '',\n",
       "  'anchor': '直播员',\n",
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       "  'compere_info': ''},\n",
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       "  'type': 0,\n",
       "  'rich_text': '意大利新增17030例新冠肺炎确诊病例，新增74例死亡病例。',\n",
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       "     'usertype': 'financeapp',\n",
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       "     'time': '2021-12-03 23:06:33',\n",
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       " {'id': 2431356,\n",
       "  'zhibo_id': 152,\n",
       "  'type': 0,\n",
       "  'rich_text': '世卫组织卫生紧急项目负责人瑞安：目前还没有证据表明有必要制定出针对奥密克戎变异株的疫苗。',\n",
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       " {'id': 2431355,\n",
       "  'zhibo_id': 152,\n",
       "  'type': 0,\n",
       "  'rich_text': '美股高开低走，纳指跌幅扩大至1%，特斯拉跌超2.3%。',\n",
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       "  'ext': '{\"stocks\":[{\"market\":\"us\",\"symbol\":\".ixic\",\"key\":\"\\\\u7eb3\\\\u6307\"},{\"market\":\"us\",\"symbol\":\"tsla\",\"key\":\"\\\\u7279\\\\u65af\\\\u62c9\"}],\"needPush\":false,\"needAIPush\":false,\"needCMSLink\":true,\"needCalender\":false,\"needProvince\":\"0\",\"docurl\":\"https:\\\\/\\\\/finance.sina.com.cn\\\\/7x24\\\\/2021-12-03\\\\/doc-ikyamrmy6705555.shtml\",\"docid\":\"kyamrmy6705555\"}',\n",
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       " {'id': 2431354,\n",
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       "  'type': 1,\n",
       "  'rich_text': '据联合国粮食及农业组织(FAO)最新报告，11月全球食品通胀连续第四个月上升，达到10年来的最高水平，主要原因是对小麦和乳制品的强劲需求。食品价格指数11月环比上涨1.2%至134.4，同比上涨27.3%。',\n",
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       " {'id': 2431353,\n",
       "  'zhibo_id': 152,\n",
       "  'type': 0,\n",
       "  'rich_text': '恒大ADR(EGRNY)跌1.61%，此前恒大公告称对一笔2.6亿美元境外债券未能履行担保义务，广东省政府同意向恒大地产集团派出工作组，督促推进企业风险处置工作。',\n",
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       " {'id': 2431352,\n",
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       "  'type': 0,\n",
       "  'rich_text': '美股下挫，三大股指悉数转跌，纳指现跌0.6%。',\n",
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       "  'compere_info': ''},\n",
       " {'id': 2431351,\n",
       "  'zhibo_id': 152,\n",
       "  'type': 0,\n",
       "  'rich_text': '美国11月Markit服务业PMI终值58，创2021年9月份以来终值新低。',\n",
       "  'multimedia': '',\n",
       "  'commentid': 'live:finance-152-2431351:0',\n",
       "  'compere_id': 0,\n",
       "  'creator': 'qiqi7@staff.sina.com.cn',\n",
       "  'mender': 'qiqi7@staff.sina.com.cn',\n",
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       "  'anchor_image_url': '',\n",
       "  'anchor': '直播员',\n",
       "  'ext': '{\"stocks\":[],\"needPush\":false,\"needAIPush\":false,\"needCMSLink\":true,\"needCalender\":false,\"needProvince\":\"0\",\"docurl\":\"https:\\\\/\\\\/finance.sina.com.cn\\\\/7x24\\\\/2021-12-03\\\\/doc-ikyamrmy6704931.shtml\",\"docid\":\"kyamrmy6704931\"}',\n",
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       "  'tag': [{'id': '102', 'name': '国际'}],\n",
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       " {'id': 2431350,\n",
       "  'zhibo_id': 152,\n",
       "  'type': 0,\n",
       "  'rich_text': '美联储布拉德：危险在于我们将面临太多的通货膨胀，而这并不是美联储新框架的意图。',\n",
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       "  'compere_id': 0,\n",
       "  'creator': 'qiqi7@staff.sina.com.cn',\n",
       "  'mender': 'qiqi7@staff.sina.com.cn',\n",
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       "  'update_time': '2021-12-03 22:50:00',\n",
       "  'is_need_check': '0',\n",
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       " {'id': 2431349,\n",
       "  'zhibo_id': 152,\n",
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       "  'rich_text': 'IHS Markit经济学家Chris Williamson评美国PMI：然而，由于制造业仍然受到供应短缺和某些情况下劳动力供应问题的严重制约，经济增长不平衡。这些制约因素也对服务提供商的影响越来越大。服务业报告显示，11月份未完成订单数量接近创纪录水平，因为企业往往缺乏满足需求的能力。11月服务业成本压力也大幅上升，通常与投入和薪资上涨有关，通胀率略低于5月的历史高点。',\n",
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      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 仔细看一下def api_info_manager(page, zhibo_id = 152)是在干嘛？\n",
    "data = {\n",
    "        'page':1,\n",
    "        'page_size':100,\n",
    "        'zhibo_id':152\n",
    "        }\n",
    "dataformat = 'http://zhibo.sina.com.cn/api/zhibo/feed?' + urlencode(data)\n",
    "response = html_download(dataformat)\n",
    "json.loads(response,encoding = 'utf-8')['result']['data']['feed']['list']\n",
    "    # 将result - data - feed - list里的数据读取出来"
   ]
  },
  {
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"
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"
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"
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"
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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1、json.loads(response,encoding = 'utf-8'):\n",
    "   结果：![1699785338072.png](attachment:1699785338072.png)\n",
    "2、json.loads(response,encoding = 'utf-8')['result']\n",
    "   结果：![1699785402459.png](attachment:1699785402459.png)\n",
    "3、json.loads(response,encoding = 'utf-8')['result']['data']\n",
    "   结果：![1699785466865.png](attachment:1699785466865.png)\n",
    "4、json.loads(response,encoding = 'utf-8')['result']['data']['feed']\n",
    "   结果：![1699785511819.png](attachment:1699785511819.png)\n",
    "5、json.loads(response,encoding = 'utf-8')['result']['data']['feed']['list']\n",
    "   结果：![1699785549455.png](attachment:1699785549455.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "id                                                                 2431448\n",
       "zhibo_id                                                               152\n",
       "type                                                                     0\n",
       "rich_text                   加拿大贸易部长：在美国参议院就渥太华反对的电动汽车税收抵免进行投票之前，加拿大还有操作空间。\n",
       "multimedia                                                                \n",
       "commentid                                       live:finance-152-2431448:0\n",
       "compere_id                                                               0\n",
       "creator                                            qiqi7@staff.sina.com.cn\n",
       "mender                                             qiqi7@staff.sina.com.cn\n",
       "create_time                                            2021-12-04 01:14:42\n",
       "update_time                                            2021-12-04 01:14:47\n",
       "is_need_check                                                            1\n",
       "check_time                                             2021-12-04 01:14:46\n",
       "check_status                                                             1\n",
       "check_user                                        mingyu@staff.sina.com.cn\n",
       "is_delete                                                                0\n",
       "top_value                                                                0\n",
       "is_focus                                                                 0\n",
       "source_content_id                                                        0\n",
       "anchor_image_url                                                          \n",
       "anchor                                                                 直播员\n",
       "ext                      {\"stocks\":[],\"needPush\":false,\"needAIPush\":fal...\n",
       "old_live_cid                                                             0\n",
       "tag                                          [{'id': '102', 'name': '国际'}]\n",
       "like_nums                                                                0\n",
       "comment_list             {'list': [], 'total': 0, 'thread_show': 0, 'qr...\n",
       "docurl                   https://finance.sina.cn/7x24/2021-12-04/detail...\n",
       "rich_text_nick_to_url                                                   []\n",
       "compere_info                                                              \n",
       "Name: 0, dtype: object"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "json_res = api_info_manager(1)\n",
    "   # page = 1\n",
    "   #   return json.loads(response,encoding = 'utf-8')['result']['data']['feed']['list']\n",
    "res = pd.DataFrame.from_records(json_res)\n",
    "   # 将数据转换为DataFrame。\n",
    "   #   https://www.cjavapy.com/article/228/\n",
    "   #   在 def json2df(json_results) 这一部分\n",
    "res.loc[0,:]\n",
    "   # 取第 1 行的数据"
   ]
  },
  {
   "attachments": {
    "1699785646569.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![1699785646569.png](attachment:1699785646569.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>commentid</th>\n",
       "      <th>creator</th>\n",
       "      <th>rich_text</th>\n",
       "      <th>update_time</th>\n",
       "      <th>zhibo_id</th>\n",
       "      <th>tag</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2431448</td>\n",
       "      <td>live:finance-152-2431448:0</td>\n",
       "      <td>qiqi7@staff.sina.com.cn</td>\n",
       "      <td>加拿大贸易部长：在美国参议院就渥太华反对的电动汽车税收抵免进行投票之前，加拿大还有操作空间。</td>\n",
       "      <td>2021-12-04 01:14:47</td>\n",
       "      <td>152</td>\n",
       "      <td>国际</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2431447</td>\n",
       "      <td>live:finance-152-2431447:0</td>\n",
       "      <td>qiqi7@staff.sina.com.cn</td>\n",
       "      <td>【美国银行：标普500指数2022年可能回调10%，因美联储迈向加息】 美国银行策略师Sav...</td>\n",
       "      <td>2021-12-04 01:06:39</td>\n",
       "      <td>152</td>\n",
       "      <td>国际</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2431446</td>\n",
       "      <td>live:finance-152-2431446:0</td>\n",
       "      <td>qiqi7@staff.sina.com.cn</td>\n",
       "      <td>国际铜夜盘收涨0.13%，沪铜收跌0.04%，沪铝收涨0.90%，沪锌收跌0.78%，沪铅收...</td>\n",
       "      <td>2021-12-04 01:05:41</td>\n",
       "      <td>152</td>\n",
       "      <td>国际</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2431445</td>\n",
       "      <td>live:finance-152-2431445:0</td>\n",
       "      <td>qiqi7@staff.sina.com.cn</td>\n",
       "      <td>意大利新增17030例新冠肺炎确诊病例，新增74例死亡病例。</td>\n",
       "      <td>2021-12-04 01:01:38</td>\n",
       "      <td>152</td>\n",
       "      <td>国际</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2431444</td>\n",
       "      <td>live:finance-152-2431444:0</td>\n",
       "      <td>qiqi7@staff.sina.com.cn</td>\n",
       "      <td>现货黄金站上1780美元/盎司，日内涨0.66%。</td>\n",
       "      <td>2021-12-04 01:00:47</td>\n",
       "      <td>152</td>\n",
       "      <td>国际</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>2431353</td>\n",
       "      <td>live:finance-152-2431353:0</td>\n",
       "      <td>qiqi7@staff.sina.com.cn</td>\n",
       "      <td>恒大ADR(EGRNY)跌1.61%，此前恒大公告称对一笔2.6亿美元境外债券未能履行担保义...</td>\n",
       "      <td>2021-12-03 22:52:51</td>\n",
       "      <td>152</td>\n",
       "      <td>国际</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>2431352</td>\n",
       "      <td>live:finance-152-2431352:0</td>\n",
       "      <td>qiqi7@staff.sina.com.cn</td>\n",
       "      <td>美股下挫，三大股指悉数转跌，纳指现跌0.6%。</td>\n",
       "      <td>2021-12-03 22:51:16</td>\n",
       "      <td>152</td>\n",
       "      <td>国际</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>2431351</td>\n",
       "      <td>live:finance-152-2431351:0</td>\n",
       "      <td>qiqi7@staff.sina.com.cn</td>\n",
       "      <td>美国11月Markit服务业PMI终值58，创2021年9月份以来终值新低。</td>\n",
       "      <td>2021-12-03 22:50:18</td>\n",
       "      <td>152</td>\n",
       "      <td>国际</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>2431350</td>\n",
       "      <td>live:finance-152-2431350:0</td>\n",
       "      <td>qiqi7@staff.sina.com.cn</td>\n",
       "      <td>美联储布拉德：危险在于我们将面临太多的通货膨胀，而这并不是美联储新框架的意图。</td>\n",
       "      <td>2021-12-03 22:50:00</td>\n",
       "      <td>152</td>\n",
       "      <td>国际</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>2431349</td>\n",
       "      <td>live:finance-152-2431349:0</td>\n",
       "      <td>qiqi7@staff.sina.com.cn</td>\n",
       "      <td>IHS Markit经济学家Chris Williamson评美国PMI：然而，由于制造业仍...</td>\n",
       "      <td>2021-12-03 22:49:18</td>\n",
       "      <td>152</td>\n",
       "      <td>国际</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>100 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         id                   commentid                  creator  \\\n",
       "0   2431448  live:finance-152-2431448:0  qiqi7@staff.sina.com.cn   \n",
       "1   2431447  live:finance-152-2431447:0  qiqi7@staff.sina.com.cn   \n",
       "2   2431446  live:finance-152-2431446:0  qiqi7@staff.sina.com.cn   \n",
       "3   2431445  live:finance-152-2431445:0  qiqi7@staff.sina.com.cn   \n",
       "4   2431444  live:finance-152-2431444:0  qiqi7@staff.sina.com.cn   \n",
       "..      ...                         ...                      ...   \n",
       "95  2431353  live:finance-152-2431353:0  qiqi7@staff.sina.com.cn   \n",
       "96  2431352  live:finance-152-2431352:0  qiqi7@staff.sina.com.cn   \n",
       "97  2431351  live:finance-152-2431351:0  qiqi7@staff.sina.com.cn   \n",
       "98  2431350  live:finance-152-2431350:0  qiqi7@staff.sina.com.cn   \n",
       "99  2431349  live:finance-152-2431349:0  qiqi7@staff.sina.com.cn   \n",
       "\n",
       "                                            rich_text          update_time  \\\n",
       "0      加拿大贸易部长：在美国参议院就渥太华反对的电动汽车税收抵免进行投票之前，加拿大还有操作空间。  2021-12-04 01:14:47   \n",
       "1   【美国银行：标普500指数2022年可能回调10%，因美联储迈向加息】 美国银行策略师Sav...  2021-12-04 01:06:39   \n",
       "2   国际铜夜盘收涨0.13%，沪铜收跌0.04%，沪铝收涨0.90%，沪锌收跌0.78%，沪铅收...  2021-12-04 01:05:41   \n",
       "3                      意大利新增17030例新冠肺炎确诊病例，新增74例死亡病例。  2021-12-04 01:01:38   \n",
       "4                           现货黄金站上1780美元/盎司，日内涨0.66%。  2021-12-04 01:00:47   \n",
       "..                                                ...                  ...   \n",
       "95  恒大ADR(EGRNY)跌1.61%，此前恒大公告称对一笔2.6亿美元境外债券未能履行担保义...  2021-12-03 22:52:51   \n",
       "96                            美股下挫，三大股指悉数转跌，纳指现跌0.6%。  2021-12-03 22:51:16   \n",
       "97             美国11月Markit服务业PMI终值58，创2021年9月份以来终值新低。  2021-12-03 22:50:18   \n",
       "98            美联储布拉德：危险在于我们将面临太多的通货膨胀，而这并不是美联储新框架的意图。  2021-12-03 22:50:00   \n",
       "99  IHS Markit经济学家Chris Williamson评美国PMI：然而，由于制造业仍...  2021-12-03 22:49:18   \n",
       "\n",
       "    zhibo_id tag  \n",
       "0        152  国际  \n",
       "1        152  国际  \n",
       "2        152  国际  \n",
       "3        152  国际  \n",
       "4        152  国际  \n",
       "..       ...  ..  \n",
       "95       152  国际  \n",
       "96       152  国际  \n",
       "97       152  国际  \n",
       "98       152  国际  \n",
       "99       152  国际  \n",
       "\n",
       "[100 rows x 7 columns]"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 增加一列\n",
    "x = res.loc[:,['id','commentid','creator','rich_text','update_time','zhibo_id']]\n",
    "  # 提取所有行\n",
    "  # 对比 res.loc[0,:]\n",
    "  #     取第 1 行的数据\n",
    "tags = res.loc[0,:]['tag'][0]['name']\n",
    "  # >>> res.loc[0,:]['tag']\n",
    "  #     [{'id': '1', 'name': '宏观'}, {'id': '5', 'name': '市场'}]\n",
    "  # >>> res.loc[0,:]['tag'][0]\n",
    "  #    {'id': '1', 'name': '宏观'}\n",
    "  # >>> res.loc[0,:]['tag'][0]['name']\n",
    "  #    '宏观'\n",
    "x['tag'] = tags\n",
    "x"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 案例二：雪球 爬虫实例"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### 你可能需要安装 \n",
    "`conda install pymysql`\n",
    "`conda install mysqlclient`\n",
    "`conda install sqlalchemy`\n",
    "`cinda install requests`\n",
    "\n",
    "or\n",
    "\n",
    "`pip install pymysql`\n",
    "`pip install mysqlclient`\n",
    "`pip install sqlalchemy`\n",
    "`pip install requests`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "### 案例二：雪球 爬虫实例\n",
    "\n",
    "from urllib.parse import urlencode               # 将存入的字典参数编码为URL查询字符串\n",
    "import requests\n",
    "from requests.exceptions import RequestException # 异常处理\n",
    "import json                                      # 可用于处理JSON数据\n",
    "import time\n",
    "import datetime\n",
    "import pandas as pd  \n",
    "from sqlalchemy import create_engine            # 建立与数据库的链接\n",
    " # pip install sqlalchemy\n",
    " # conda install sqlalchemy\n",
    "conn_sql = 'mysql+pymysql://root:123456@127.0.0.1:3306/news?charset=utf8'\n",
    "conn = create_engine(conn_sql) \n",
    "\n",
    "# def 可能碰到的问题：\n",
    "#   无法运行 if 语句：是indent不对。首行缩进不对。已解决\n",
    "\n",
    "def getcookies():#获得雪球网的cookie\n",
    "    headers3 = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:109.0) Gecko/20100101 Firefox/119.0',\n",
    "                'Referer': 'https://xueqiu.com/',\n",
    "                'Host': 'xueqiu.com',\n",
    "                }\n",
    "    r = requests.get(url = 'https://xueqiu.com/', headers=headers3)\n",
    "        # requests.get(url)：对返回对象取text即可获得网页内容，\n",
    "        #                    取content即可获得二进制流来获取图片，视频，音频等文件。\n",
    "    if r.status_code == 200: \n",
    "        # r.status code：HTTP请求的返回状态，200表示连接成功，404表示失败\n",
    "        cookie = r.cookies.get_dict()\n",
    "        return cookie\n",
    "    return None\n",
    "\n",
    "def html_download(url, cookie):\n",
    "    headers3 = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:109.0) Gecko/20100101 Firefox/119.0',\n",
    "               'referer': 'https://xueqiu.com/',\n",
    "               'Host': 'xueqiu.com',\n",
    "               }\n",
    "    try:\n",
    "        request = requests.get(url, headers=headers3, cookies=cookie)\n",
    "        if request.status_code == 200:\n",
    "            return request.text\n",
    "        return None\n",
    "    except RequestException:\n",
    "        return None\n",
    "\n",
    "# 试图把网页上的数据读取下来：\n",
    "#   GET \thttps://xueqiu.com/v4/statuses/public_timeline_by_category.json?since_id=-1&max_id=-1&count=20&category=6\n",
    "def api_info_manager(cookie):\n",
    "    data = {\n",
    "            'since_id': -1,\n",
    "            'max_id': -1,\n",
    "            'count': 20,\n",
    "            'category': 6\n",
    "            }    \n",
    "    dataformat = 'https://xueqiu.com/v4/statuses/public_timeline_by_category.json?' + urlencode(data)\n",
    "    response = html_download(dataformat,cookie)\n",
    "        # 前面定义的html_download(url, cookie)\n",
    "    if not response: \n",
    "        # if not works, do it again\n",
    "        cookie = getcookies()\n",
    "        response = html_download(dataformat,cookie)\n",
    "    \n",
    "    info = json.loads(response, encoding='utf-8')['list']\n",
    "        # 从JSON转换为Python对象\n",
    "    x = pd.DataFrame(columns =['id','category','text','target','view_count','created_at'])\n",
    "        # DataFrame是Python中Pandas库中的一种数据结构，它类似excel，是一种二维表。\n",
    "        #     （1）pd.DataFrame(columns =[…])：设置了每一列的名称。\n",
    "    for i,info in enumerate(json.loads(response, encoding='utf-8')['list']):\n",
    "        #    '{\n",
    "        #     \"id\":3137558,\n",
    "        #     \"text\":\"【中国神华：10月份煤炭销售3750万吨 同比增长8.4%】中国神华晚间公告，10月份煤炭销售3750万吨，同比增长8.4%；\n",
    "        #               2023年累计煤炭销售3.7亿吨，同比增长7.6%。\",\n",
    "        #     \"mark\":0,\n",
    "        #     \"target\":\"http://xueqiu.com/5124430882/266709560\",\n",
    "        #     \"created_at\":1699870877000,\n",
    "        #     \"view_count\":461,\n",
    "        #     \"status_id\":266709560,\"reply_count\":0,\"share_count\":0,\"sub_type\":0\n",
    "        #      }'\n",
    "        # 1、将response的东西读取进来。\n",
    "        # 2、枚举info里面的id：枚举info里面的data 里面的text项。\n",
    "        # 3、区域选取（多维选取）：df.loc[]\n",
    "        x.loc[i,'id'] = info['id']\n",
    "        x.loc[i,'category'] = info['category']\n",
    "        x.loc[i,'text'] = json.loads(info['data'])['text']\n",
    "        x.loc[i,'target'] = json.loads(info['data'])['target']\n",
    "        x.loc[i,'view_count'] = json.loads(info['data'])['view_count']\n",
    "        x.loc[i,'created_at'] = datetime.datetime.fromtimestamp(int(json.loads(info['data'])['created_at']/1000)).strftime('%Y-%m-%d %H:%M:%S')\n",
    "          # \"created_at\":1699870877000,\n",
    "          #（1）times\n",
    "          #     datetime.datetime(2023, 7, 30, 21, 49, 15, 528204)\n",
    "          #（2）times.strftime(\"%Y-%m-%d %H:%M:%S\")\n",
    "          #     '2023-07-30 21:49:15'\n",
    "          #（3）timestamp(时间戳)，\n",
    "          #     datetime.datetime.fromtimestamp：功能为timestamp -> datetime.datetime。\n",
    "          #     一般写成datetime.datetime.fromtimestamp(ts,tz=None)\n",
    "    return x        \n",
    "        \n",
    "def save_to_sql(res):\n",
    "    try:\n",
    "        r = res.sort_values(by='id', ascending = True)\n",
    "            # sort_values（）：排序。\n",
    "            #                  https://blog.csdn.net/MsSpark/article/details/83154128\n",
    "        # r.to_sql(name='xueqiu_fin_news', con=conn, if_exists='append', index=False)\n",
    "        pd.io.sql.to_sql(r,'xueqiu_fin_news', con=conn, schema='news', if_exists = 'append')\n",
    "            # You need a database named news_online \n",
    "            #   pd.io.sql.to_sql(dataframe,'table_name',con=conn,schema='w_analysis',if_exists='append')\n",
    "            #   利用pd的io中的sql的to_sql方法进行导入（记住不是pd的to_sql）\n",
    "            #   https://blog.csdn.net/hellocsz/article/details/82956673?ops_request_misc=&request_id=&biz_id=102&utm_term=.io.sql.to_sql&utm_medium=distribute.pc_search_result.none-task-blog-2~all~sobaiduweb~default-0-82956673.142^v93^insert_down28v1&spm=1018.2226.3001.4187\n",
    "        print('Successful!')\n",
    "    except Exception:\n",
    "        print('Fail')\n",
    "        \n",
    "# 看是否有新的内容添加进去，增加到数据库中。\n",
    "def update_sql(res):\n",
    "    try:\n",
    "        sql_cmd = \"select id from xueqiu_fin_news ORDER BY id desc LIMIT 1\"\n",
    "        # last_id = int(pd.read_sql(sql=sql_cmd, con=conn).id)\n",
    "        last_id = int(pd.read_sql(sql=sql_cmd, con=conn).id)       \n",
    "          #（1）read_sql_query; 读取自定义数据（通过SQL语句）\n",
    "          #    Read SQL query into a DataFrame，会返回一个数据库xueqiu_fin_news表的DataFrame格式。\n",
    "          #    read_sql本质上是read_sql_table、read_sql_query的统一方式。\n",
    "          #    例如：data = pd.read_sql_query('select * from tableName ',con = engine)，\n",
    "          #          会返回一个数据库表名为tableName的DataFrame格式。\n",
    "          #    例如：data = pd.read_sql_query('delete from tableName  where time > '2020',con = engine)，\n",
    "          #          这条语句会执行，删除表明为 tableName的表中 time > '2020'的值，但不会返回data。\n",
    "          #（2）conn：engine\n",
    "          #（3）根据id来排序，降序。LIMIT 1：limit 2就表示取排序后的最开始的那2条排序。\n",
    "          #（4）int(x)是将符合数学格式的数字型字符串x转换成整数，获将浮点数转换成整数，取整。\n",
    "          #     例如：int(6.5) 返回 6；int(\"123\") 返回 123；int() 返回 0 （无参数时返回0）。\n",
    "          #     可以help(int())查询。\n",
    "          # https://blog.csdn.net/weixin_44134344/article/details/121429134  \n",
    "          # 可能碰到的问题：sqlalchemy.exc.OperationalError: (_mysql_exceptions.OperationalError) (2006, 'SSL connection error: unknown error number')\n",
    "          #                 (Background on this error at: https://sqlalche.me/e/14/e3q8)\n",
    "          # 解决：https://blog.csdn.net/a928108554/article/details/128122391\n",
    "        in_list = res[res['id']>last_id]\n",
    "          #（1）读取res['id']：读取res里id这一列。\n",
    "          #（2）res[res['id']>last_id]：在res里选取'id'>last_id的项目读取。\n",
    "        new_l = in_list.sort_values(by='id', ascending = True)\n",
    "          # 升序排序\n",
    "        # new_l.to_sql(name='xueqiu_fin_news', con=conn, if_exists='append', index=False)\n",
    "        pd.io.sql.to_sql(new_l,'xueqiu_fin_news', con=conn, schema='news', if_exists = 'append')\n",
    "          # pd的io中的sql的to_sql方法 导入mysql：\n",
    "          # https://blog.csdn.net/hellocsz/article/details/82956673?ops_request_misc=&request_id=&biz_id=102&utm_term=pd%E7%9A%84io%E4%B8%AD%E7%9A%84sql%E7%9A%84to_sql%E6%96%B9%E6%B3%95%20%E5%AF%BC%E5%85%A5mysql&utm_medium=distribute.pc_search_result.none-task-blog-2~all~sobaiduweb~default-0-82956673.142^v93^insert_down28v1&spm=1018.2226.3001.4187\n",
    "        print('{} items has been update Successed on {}'.format(len(new_l), time.strftime('%Y-%m-%d %H:%M:%S')))\n",
    "    except Exception:\n",
    "          # 带格式format的print。\n",
    "          # 最后输出的结果为“len(new_l) items has been update Successed on '%Y-%m-%d %H:%M:%S'”\n",
    "          #（1）len（）：返回字符串、列表、字典、元组等长度。\n",
    "          #（2）time.strftime(format[, t])定义：转换一个元组或 struct_time 表示的由 gmtime() 或 localtime() \n",
    "          #     返回的时间到由 format 参数指定的字符串。如果未提供 t ，则使用由 localtime() 返回的当前时间。 \n",
    "          #     format 必须是一个字符串。如果 t 中的任何字段超出允许范围，则引发 ValueError 。\n",
    "          # %y 两位数的年份表示（00-99）, %Y 四位数年份\n",
    "          # Python中Print()函数的用法___实例详解(全，例多）：\n",
    "          # https://blog.csdn.net/weixin_69553582/article/details/125403845 \n",
    "        print('Fail to update on {}'.format(time.strftime('%Y-%m-%d %H:%M:%S')))\n",
    "          # 带格式format的print。最后输出的结果为“Fail to update on '%Y-%m-%d %H:%M:%S'”\n",
    "\n",
    "def main(page):\n",
    "    cookie = getcookies()\n",
    "    res = api_info_manager(cookie)\n",
    "    save_to_sql(res)\n",
    "    update_sql(res)\n",
    "\n",
    "def updating(cookie):  \n",
    "    while True:\n",
    "        res = api_info_manager(cookie)\n",
    "        update_sql(res)\n",
    "        time.sleep(3600)\n",
    "          # 如果需要让程序暂停一下，可以调用time.sleep( )函数，并传入暂停的时长（秒数）。\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>category</th>\n",
       "      <th>text</th>\n",
       "      <th>target</th>\n",
       "      <th>view_count</th>\n",
       "      <th>created_at</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2217160</td>\n",
       "      <td>6</td>\n",
       "      <td>美国10年期国债收益率失守1.4%，为9月23日来首次。</td>\n",
       "      <td>http://xueqiu.com/5124430882/204975867</td>\n",
       "      <td>68</td>\n",
       "      <td>2021-12-04 00:31:02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2217147</td>\n",
       "      <td>6</td>\n",
       "      <td>【美国股市扩大周跌幅， 交易员评估喜忧参半的就业数据及美联储货币政策前景】科技股领跌标普50...</td>\n",
       "      <td>http://xueqiu.com/5124430882/204975094</td>\n",
       "      <td>16132</td>\n",
       "      <td>2021-12-04 00:11:02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2217145</td>\n",
       "      <td>6</td>\n",
       "      <td>特斯拉CEO马斯克：FSD测试版10.6将于今天在内部发布，几天后将推出外部测试版。</td>\n",
       "      <td>http://xueqiu.com/5124430882/204975073</td>\n",
       "      <td>8065</td>\n",
       "      <td>2021-12-04 00:10:33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2217142</td>\n",
       "      <td>6</td>\n",
       "      <td>【德国疾控机构和卫生部再次呼吁迅速执行严格防疫措施】当地时间12月3日，德国看守政府卫生部长...</td>\n",
       "      <td>http://xueqiu.com/5124430882/204974993</td>\n",
       "      <td>2455</td>\n",
       "      <td>2021-12-04 00:08:43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2217130</td>\n",
       "      <td>6</td>\n",
       "      <td>【宝马集团全球最大的两座生产车间接连在沈阳竣工验收】 宝马集团全球最大的总装物流车间12月3...</td>\n",
       "      <td>http://xueqiu.com/5124430882/204974345</td>\n",
       "      <td>29446</td>\n",
       "      <td>2021-12-03 23:54:57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2217123</td>\n",
       "      <td>6</td>\n",
       "      <td>哈尔滨将南岗区香坊区部分区域调整为中风险地区。（央视新闻）</td>\n",
       "      <td>http://xueqiu.com/5124430882/204974123</td>\n",
       "      <td>33014</td>\n",
       "      <td>2021-12-03 23:50:29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2217120</td>\n",
       "      <td>6</td>\n",
       "      <td>【十大券商预判2022年A股：最强共识包括新能源和医药】 梳理十家券商2022年策略报告发现...</td>\n",
       "      <td>http://xueqiu.com/5124430882/204974079</td>\n",
       "      <td>34159</td>\n",
       "      <td>2021-12-03 23:49:43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2217112</td>\n",
       "      <td>6</td>\n",
       "      <td>纳指跌超2%，明星科技股集体下挫，Adobe跌超8%，英伟达跌超5%，特斯拉跌超4%，Pay...</td>\n",
       "      <td>http://xueqiu.com/5124430882/204973793</td>\n",
       "      <td>51835</td>\n",
       "      <td>2021-12-03 23:45:43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2217111</td>\n",
       "      <td>6</td>\n",
       "      <td>【农业农村部：我国自主培育白羽肉鸡品种通过审定】 农业农村部12月3日发布，日前，国家畜禽遗...</td>\n",
       "      <td>http://xueqiu.com/5124430882/204973770</td>\n",
       "      <td>33039</td>\n",
       "      <td>2021-12-03 23:45:19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2217108</td>\n",
       "      <td>6</td>\n",
       "      <td>在岸人民币兑美元（CNY）北京时间23:30收报6.3760元，较周四夜盘收盘涨18点。成交...</td>\n",
       "      <td>http://xueqiu.com/5124430882/204973497</td>\n",
       "      <td>38454</td>\n",
       "      <td>2021-12-03 23:40:57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2217098</td>\n",
       "      <td>6</td>\n",
       "      <td>【美国11月非农点评】国泰君安期货认为，本次美国11月非农就业数据没有那么差，反而失业率已经...</td>\n",
       "      <td>http://xueqiu.com/5124430882/204971392</td>\n",
       "      <td>60246</td>\n",
       "      <td>2021-12-03 23:12:04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2217094</td>\n",
       "      <td>6</td>\n",
       "      <td>澳元兑美元AUD/USD日内跌幅达1.00%，现报0.7023。</td>\n",
       "      <td>http://xueqiu.com/5124430882/204971213</td>\n",
       "      <td>58574</td>\n",
       "      <td>2021-12-03 23:10:18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2217082</td>\n",
       "      <td>6</td>\n",
       "      <td>螺纹期货夜盘收涨2.22%，热卷收涨1.33%；铁矿石期货收涨0.76%。 焦炭夜盘收涨3....</td>\n",
       "      <td>http://xueqiu.com/5124430882/204970373</td>\n",
       "      <td>62510</td>\n",
       "      <td>2021-12-03 23:02:24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2217076</td>\n",
       "      <td>6</td>\n",
       "      <td>美股新能源车板块跌幅扩大，蔚来汽车跌超10%，小鹏汽车、法拉第未来跌超8%，理想汽车跌近8%...</td>\n",
       "      <td>http://xueqiu.com/5124430882/204970121</td>\n",
       "      <td>97401</td>\n",
       "      <td>2021-12-03 23:00:19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2217075</td>\n",
       "      <td>6</td>\n",
       "      <td>恒大ADR(EGRNY)跌1.61%，此前恒大公告称对一笔2.6亿美元境外债券未能履行担保义...</td>\n",
       "      <td>http://xueqiu.com/5124430882/204970099</td>\n",
       "      <td>54972</td>\n",
       "      <td>2021-12-03 23:00:03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2217073</td>\n",
       "      <td>6</td>\n",
       "      <td>广州白云新市棠涌经济联合社通报，辖内发现新冠肺炎疑似病例，按照上级部署立即进行全员核酸检测。...</td>\n",
       "      <td>http://xueqiu.com/5124430882/204969927</td>\n",
       "      <td>54511</td>\n",
       "      <td>2021-12-03 22:58:18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2217068</td>\n",
       "      <td>6</td>\n",
       "      <td>美股高开低走，纳指跌幅扩大至1%。</td>\n",
       "      <td>http://xueqiu.com/5124430882/204969550</td>\n",
       "      <td>62011</td>\n",
       "      <td>2021-12-03 22:54:56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2217065</td>\n",
       "      <td>6</td>\n",
       "      <td>美股下挫，三大股指悉数转跌，纳指现跌0.6%。</td>\n",
       "      <td>http://xueqiu.com/5124430882/204969129</td>\n",
       "      <td>59026</td>\n",
       "      <td>2021-12-03 22:52:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2217060</td>\n",
       "      <td>6</td>\n",
       "      <td>【广东省政府向恒大派出工作组，住建部相关人士：有利于恒大保交楼】12月3日晚间，广东省人民政...</td>\n",
       "      <td>http://xueqiu.com/5124430882/204968685</td>\n",
       "      <td>56047</td>\n",
       "      <td>2021-12-03 22:49:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2217058</td>\n",
       "      <td>6</td>\n",
       "      <td>【粤港澳大湾区首批中老国际班列始发】12月3日下午，两趟满载货物的中老国际班列分别从深圳和广...</td>\n",
       "      <td>http://xueqiu.com/5124430882/204968605</td>\n",
       "      <td>55510</td>\n",
       "      <td>2021-12-03 22:48:15</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         id category                                               text  \\\n",
       "0   2217160        6                       美国10年期国债收益率失守1.4%，为9月23日来首次。   \n",
       "1   2217147        6  【美国股市扩大周跌幅， 交易员评估喜忧参半的就业数据及美联储货币政策前景】科技股领跌标普50...   \n",
       "2   2217145        6         特斯拉CEO马斯克：FSD测试版10.6将于今天在内部发布，几天后将推出外部测试版。   \n",
       "3   2217142        6  【德国疾控机构和卫生部再次呼吁迅速执行严格防疫措施】当地时间12月3日，德国看守政府卫生部长...   \n",
       "4   2217130        6  【宝马集团全球最大的两座生产车间接连在沈阳竣工验收】 宝马集团全球最大的总装物流车间12月3...   \n",
       "5   2217123        6                      哈尔滨将南岗区香坊区部分区域调整为中风险地区。（央视新闻）   \n",
       "6   2217120        6  【十大券商预判2022年A股：最强共识包括新能源和医药】 梳理十家券商2022年策略报告发现...   \n",
       "7   2217112        6  纳指跌超2%，明星科技股集体下挫，Adobe跌超8%，英伟达跌超5%，特斯拉跌超4%，Pay...   \n",
       "8   2217111        6  【农业农村部：我国自主培育白羽肉鸡品种通过审定】 农业农村部12月3日发布，日前，国家畜禽遗...   \n",
       "9   2217108        6  在岸人民币兑美元（CNY）北京时间23:30收报6.3760元，较周四夜盘收盘涨18点。成交...   \n",
       "10  2217098        6  【美国11月非农点评】国泰君安期货认为，本次美国11月非农就业数据没有那么差，反而失业率已经...   \n",
       "11  2217094        6                   澳元兑美元AUD/USD日内跌幅达1.00%，现报0.7023。   \n",
       "12  2217082        6  螺纹期货夜盘收涨2.22%，热卷收涨1.33%；铁矿石期货收涨0.76%。 焦炭夜盘收涨3....   \n",
       "13  2217076        6  美股新能源车板块跌幅扩大，蔚来汽车跌超10%，小鹏汽车、法拉第未来跌超8%，理想汽车跌近8%...   \n",
       "14  2217075        6  恒大ADR(EGRNY)跌1.61%，此前恒大公告称对一笔2.6亿美元境外债券未能履行担保义...   \n",
       "15  2217073        6  广州白云新市棠涌经济联合社通报，辖内发现新冠肺炎疑似病例，按照上级部署立即进行全员核酸检测。...   \n",
       "16  2217068        6                                  美股高开低走，纳指跌幅扩大至1%。   \n",
       "17  2217065        6                            美股下挫，三大股指悉数转跌，纳指现跌0.6%。   \n",
       "18  2217060        6  【广东省政府向恒大派出工作组，住建部相关人士：有利于恒大保交楼】12月3日晚间，广东省人民政...   \n",
       "19  2217058        6  【粤港澳大湾区首批中老国际班列始发】12月3日下午，两趟满载货物的中老国际班列分别从深圳和广...   \n",
       "\n",
       "                                    target view_count           created_at  \n",
       "0   http://xueqiu.com/5124430882/204975867         68  2021-12-04 00:31:02  \n",
       "1   http://xueqiu.com/5124430882/204975094      16132  2021-12-04 00:11:02  \n",
       "2   http://xueqiu.com/5124430882/204975073       8065  2021-12-04 00:10:33  \n",
       "3   http://xueqiu.com/5124430882/204974993       2455  2021-12-04 00:08:43  \n",
       "4   http://xueqiu.com/5124430882/204974345      29446  2021-12-03 23:54:57  \n",
       "5   http://xueqiu.com/5124430882/204974123      33014  2021-12-03 23:50:29  \n",
       "6   http://xueqiu.com/5124430882/204974079      34159  2021-12-03 23:49:43  \n",
       "7   http://xueqiu.com/5124430882/204973793      51835  2021-12-03 23:45:43  \n",
       "8   http://xueqiu.com/5124430882/204973770      33039  2021-12-03 23:45:19  \n",
       "9   http://xueqiu.com/5124430882/204973497      38454  2021-12-03 23:40:57  \n",
       "10  http://xueqiu.com/5124430882/204971392      60246  2021-12-03 23:12:04  \n",
       "11  http://xueqiu.com/5124430882/204971213      58574  2021-12-03 23:10:18  \n",
       "12  http://xueqiu.com/5124430882/204970373      62510  2021-12-03 23:02:24  \n",
       "13  http://xueqiu.com/5124430882/204970121      97401  2021-12-03 23:00:19  \n",
       "14  http://xueqiu.com/5124430882/204970099      54972  2021-12-03 23:00:03  \n",
       "15  http://xueqiu.com/5124430882/204969927      54511  2021-12-03 22:58:18  \n",
       "16  http://xueqiu.com/5124430882/204969550      62011  2021-12-03 22:54:56  \n",
       "17  http://xueqiu.com/5124430882/204969129      59026  2021-12-03 22:52:00  \n",
       "18  http://xueqiu.com/5124430882/204968685      56047  2021-12-03 22:49:01  \n",
       "19  http://xueqiu.com/5124430882/204968605      55510  2021-12-03 22:48:15  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cookie = getcookies()\n",
    "res = api_info_manager(cookie)\n",
    "res\n",
    "main(1)\n",
    "save_to_sql(res)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "res.text"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'u': '191638549086210',\n",
       " 'xq_a_token': 'e8bc5b27c7b4a2e2bb256b92fce058a36b96467e',\n",
       " 'xq_id_token': 'eyJ0eXAiOiJKV1QiLCJhbGciOiJSUzI1NiJ9.eyJ1aWQiOi0xLCJpc3MiOiJ1YyIsImV4cCI6MTY0MTA2MTE5NSwiY3RtIjoxNjM4NTQ5MDU0NzQwLCJjaWQiOiJkOWQwbjRBWnVwIn0.RFbM3bBgdv7M-s9eTLj9wzIvtkm3qr1uZt15RC4oj2FQ3Ey73zVhJSFOLr7IMaPvu2r85jG_hXy5dOZQ1b0qzKwEXb5YURtY0LinggBFCwRQsc6tol_rtmkYDhcNm3WgA56hnxtHid0x56_3Bc_7tP2hMR_QfAD6MlqV7lCvSna2BNK7EcbGKw5E8PVJBNNRBoQCP5B6J67gbDjj984EFwARojR0wbOfDedUTT6SmN6YY-VxJz1PD0zn2nfX6gGAJO2z1aLRoYPanYL7fNBAtURGbkMcMQXn_BPCgOpLbFiNYaOUrPiYxejIo6MO-NITZ9b0ekihuyx6oJ4UmR4joQ',\n",
       " 'xq_r_token': '9bc5678a1fb1f8e15e1e679212ce7f4d5845d4cc',\n",
       " 'xqat': 'e8bc5b27c7b4a2e2bb256b92fce058a36b96467e',\n",
       " 'acw_tc': '3ccdc14716385490861997325e782417b61b3fc4ea99e698c4562032a01c8a'}"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cookie"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "url = 'https://finance.sina.com.cn/roll/index.d.html?cid=56588&page=1'\n",
    "headers = {\n",
    "            'User-Agent':'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:109.0) Gecko/20100101 Firefox/119.0'\n",
    "            }\n",
    "res = requests.get(url, headers=headers)\n",
    "res.encoding = 'utf-8'\n",
    "res.text"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 案例三：东方财富研报\n",
    "\n",
    "首先使用chrome打开东方财富网个股研报网站：https://data.eastmoney.com/report/stock.jshtml\n",
    "\n",
    "可以看到，网址 https://data.eastmoney.com/report/stock.jshtml 中并没有参数指明当前请求第一页的数据，我们单击下一页，上方网址不变，因此可以确定，东财采用**异步加载**的方式加载数据。也就是说上方的网址并不是请求研报数据的最终网址，我们需要抓包来找到访问数据的url以加载研报数据。\n",
    "\n",
    "![](assets/dongfang_js.png)\n",
    "\n",
    "注意：选择 查看 -- Network  --  JS -- list？\n",
    "\n",
    "而且我们可以看出，这个结构类似于一个字典，那么通过JSON的形式我们应该可以取得数据。\n",
    "\n",
    "步骤：\n",
    " - 构造 URL\n",
    " - 读取JSON数据\n",
    " - 存入数据库"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### 1、构造URL\n",
    "\n",
    "由于数据在不同页面，我们考察 URL的特点：\n",
    "\n",
    ">第2页：https://reportapi.eastmoney.com/report/list?cb=datatable3752628&industryCode=*&pageSize=50&industry=*&rating=&ratingChange=&beginTime=2021-11-19&endTime=2023-11-19&pageNo=2&fields=&qType=0&orgCode=&code=*&rcode=&p=2&pageNum=2&pageNumber=2&_=1700401914021\n",
    "\n",
    ">第3页：https://reportapi.eastmoney.com/report/list?cb=datatable1262024&industryCode=*&pageSize=50&industry=*&rating=&ratingChange=&beginTime=2021-11-19&endTime=2023-11-19&pageNo=3&fields=&qType=0&orgCode=&code=*&rcode=&p=3&pageNum=3&pageNumber=3&_=1700401970600\n",
    "\n",
    "\n",
    "尝试一下不同页面，发现有区别的部分\n",
    "\n",
    "![](assets/url.png)\n",
    "\n",
    "红色框中的内容明显是有意义的，蓝色框中，可以发觉第一个数字关系不大，而第二个数字是时间戳（单调变大）\n",
    "\n",
    "因此我们构造URL如下 (爬取前10页)\n",
    "\n",
    ">urls = ('https://reportapi.eastmoney.com/report/list?cb=datatable4184621&industryCode=*&pageSize=50&industry=*&\\\n",
    "    rating=&ratingChange=&beginTime=2021-11-19&endTime=2023-11-19&pageNo=%d&fields=&qType=0&orgCode=&code=*&rcode=&p=%d&\\\n",
    "        pageNum=%d&pageNumber=%d&_=%d'%(i,i,i,i,int(round(time.time() * 1000))) for i in range(1,10) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'title': '三季度业绩超预期，传统淡季交出好的答卷',\n",
       " 'stockName': '凯立新材',\n",
       " 'stockCode': '688269',\n",
       " 'orgCode': '80000124',\n",
       " 'orgName': '天风证券股份有限公司',\n",
       " 'orgSName': '天风证券',\n",
       " 'publishDate': '2021-11-12 00:00:00.000',\n",
       " 'infoCode': 'AP202111121528631157',\n",
       " 'column': '002004002003',\n",
       " 'predictNextTwoYearEps': '3.9400000000',\n",
       " 'predictNextTwoYearPe': '25.3700000000',\n",
       " 'predictNextYearEps': '2.5800000000',\n",
       " 'predictNextYearPe': '38.6600000000',\n",
       " 'predictThisYearEps': '1.7900000000',\n",
       " 'predictThisYearPe': '55.9200000000',\n",
       " 'predictLastYearEps': '',\n",
       " 'predictLastYearPe': '',\n",
       " 'actualLastTwoYearEps': '',\n",
       " 'actualLastYearEps': '',\n",
       " 'industryCode': '',\n",
       " 'industryName': '',\n",
       " 'emIndustryCode': '',\n",
       " 'indvInduCode': '538',\n",
       " 'indvInduName': '化学制品',\n",
       " 'emRatingCode': '007',\n",
       " 'emRatingValue': '3',\n",
       " 'emRatingName': '买入',\n",
       " 'lastEmRatingCode': '007',\n",
       " 'lastEmRatingValue': '3',\n",
       " 'lastEmRatingName': '买入',\n",
       " 'ratingChange': 3,\n",
       " 'reportType': 2,\n",
       " 'author': ['11000173177.李辉', '11000282533.张峰'],\n",
       " 'indvIsNew': '001',\n",
       " 'researcher': '李辉,张峰',\n",
       " 'newListingDate': '2021-06-09 00:00:00.000',\n",
       " 'newPurchaseDate': '2021-05-28 00:00:00.0',\n",
       " 'newIssuePrice': 18.94,\n",
       " 'newPeIssueA': 18.01,\n",
       " 'indvAimPriceT': '174.0000000000',\n",
       " 'indvAimPriceL': '174.0000000000',\n",
       " 'attachType': '0',\n",
       " 'attachSize': 722,\n",
       " 'attachPages': 3,\n",
       " 'encodeUrl': 'eiJPlCPRayjga/Rxe5GAcxUxcE7Y24B5vDU/50fTFsM=',\n",
       " 'sRatingName': '买入',\n",
       " 'sRatingCode': '0201',\n",
       " 'market': 'SHANGHAI',\n",
       " 'authorID': ['11000173177', '11000282533'],\n",
       " 'count': 1,\n",
       " 'orgType': 'white'}"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 读取数据\n",
    "urls = ( 'https://reportapi.eastmoney.com/report/list?cb=datatable4184621&industryCode=*&pageSize=50&industry=*&\\\n",
    "    rating=&ratingChange=&beginTime=2021-11-19&endTime=2023-11-19&pageNo=%d&fields=&qType=0&orgCode=&code=*&rcode=&p=%d&\\\n",
    "        pageNum=%d&pageNumber=%d&_=%d'%(i,i,i,i,int(round(time.time() * 1000))) for i in range(1,10) )\n",
    "\n",
    "headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:109.0) Gecko/20100101 Firefox/119.0'}\n",
    "\n",
    "html = requests.get(url=next(urls),headers=headers)\n",
    "\n",
    "data_list = json.loads(html.text[17:-1])['data']\n",
    "\n",
    "data_list[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>title</th>\n",
       "      <th>stockName</th>\n",
       "      <th>stockCode</th>\n",
       "      <th>orgSName</th>\n",
       "      <th>emRatingName</th>\n",
       "      <th>publishDate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>三季度业绩超预期，传统淡季交出好的答卷</td>\n",
       "      <td>凯立新材</td>\n",
       "      <td>688269</td>\n",
       "      <td>天风证券</td>\n",
       "      <td>买入</td>\n",
       "      <td>2021-11-12</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 title stockName stockCode orgSName emRatingName publishDate\n",
       "0  三季度业绩超预期，传统淡季交出好的答卷      凯立新材    688269     天风证券           买入  2021-11-12"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.DataFrame(columns=['title','stockName','stockCode','orgSName','emRatingName','publishDate'])\n",
    "i = 0\n",
    "title,stockName,stockCode,orgSName,emRatingName,publishDate = \\\n",
    "data_list[i]['title'],data_list[i]['stockName'],data_list[i]['stockCode'],data_list[i]['orgSName'],data_list[i]['emRatingName'],data_list[i]['publishDate'][:10]\n",
    "df = df.append({'title':title,'stockName':stockName,'stockCode':stockCode,'orgSName':orgSName,'emRatingName':emRatingName,'publishDate':publishDate}, ignore_index=True)\n",
    "\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "450 items has been saved Successed on 2021-12-04 01:29:23\n"
     ]
    }
   ],
   "source": [
    "## 完整代码 \n",
    "\n",
    "import pandas as pd\n",
    "import time\n",
    "import requests\n",
    "import json\n",
    "from sqlalchemy import create_engine \n",
    "\n",
    "\n",
    "conn_sql = 'mysql+pymysql://root:123456@127.0.0.1:3306/news?charset=utf8'\n",
    "conn = create_engine(conn_sql)  \n",
    "\n",
    "urls = ( 'https://reportapi.eastmoney.com/report/list?cb=datatable4184621&industryCode=*&pageSize=50&industry=*&\\\n",
    "    rating=&ratingChange=&beginTime=2021-11-19&endTime=2023-11-19&pageNo=%d&fields=&qType=0&orgCode=&code=*&rcode=&p=%d&\\\n",
    "        pageNum=%d&pageNumber=%d&_=%d'%(i,i,i,i,int(round(time.time() * 1000))) for i in range(1,10) )\n",
    "\n",
    "headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:109.0) Gecko/20100101 Firefox/119.0'}\n",
    "df = pd.DataFrame(columns=['title','stockName','stockCode','orgSName','emRatingName','publishDate']) #保存最终内容的df要在循环外创建\n",
    "\n",
    "for url in urls:\n",
    "    html = requests.get(url=url,headers=headers)\n",
    "    if html.status_code==200: #状态码200表示访问成功\n",
    "        data_list = json.loads(html.text[17:-1])['data']\n",
    "        #data_list是个列表，列表里每一个元素都是一个大字典。\n",
    "        \n",
    "        for i in range(len(data_list)):\n",
    "            #提取标题，股票名，股票代码，证券公司，买卖建议，时间 这6项信息\n",
    "            title,stockName,stockCode,orgSName,emRatingName,publishDate = \\\n",
    "                data_list[i]['title'],data_list[i]['stockName'],data_list[i]['stockCode'],data_list[i]['orgSName'],data_list[i]['emRatingName'],data_list[i]['publishDate'][:10]\n",
    "            df = df.append({'title':title,'stockName':stockName,'stockCode':stockCode,'orgSName':orgSName,'emRatingName':emRatingName,'publishDate':publishDate}, ignore_index=True)\n",
    "\n",
    "pd.io.sql.to_sql(df,'dongfang_research_news', con=conn, schema='news', if_exists = 'append')\n",
    "print('{} items has been saved Successed on {}'.format(len(df), time.strftime('%Y-%m-%d %H:%M:%S')))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>index</th>\n",
       "      <th>title</th>\n",
       "      <th>stockName</th>\n",
       "      <th>stockCode</th>\n",
       "      <th>orgSName</th>\n",
       "      <th>emRatingName</th>\n",
       "      <th>publishDate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>10</td>\n",
       "      <td>万物云拟分拆上市，多元业务价值提升</td>\n",
       "      <td>万科A</td>\n",
       "      <td>000002</td>\n",
       "      <td>中泰证券</td>\n",
       "      <td>买入</td>\n",
       "      <td>2021-11-12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>179</td>\n",
       "      <td>动态跟踪：万科物管分拆上市，开启多元化业务价值释放之路</td>\n",
       "      <td>万科A</td>\n",
       "      <td>000002</td>\n",
       "      <td>光大证券</td>\n",
       "      <td>买入</td>\n",
       "      <td>2021-11-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>192</td>\n",
       "      <td>万物云拟分拆上市，多元业务价值将逐渐被认可</td>\n",
       "      <td>万科A</td>\n",
       "      <td>000002</td>\n",
       "      <td>东方证券</td>\n",
       "      <td>买入</td>\n",
       "      <td>2021-11-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>228</td>\n",
       "      <td>万物云拟分拆上市，物管龙头未来可期</td>\n",
       "      <td>万科A</td>\n",
       "      <td>000002</td>\n",
       "      <td>平安证券</td>\n",
       "      <td>增持</td>\n",
       "      <td>2021-11-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>233</td>\n",
       "      <td>10月经营公告点评：单月销售降幅持续收窄，拿地权益比例维持高位</td>\n",
       "      <td>万科A</td>\n",
       "      <td>000002</td>\n",
       "      <td>天风证券</td>\n",
       "      <td>买入</td>\n",
       "      <td>2021-11-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>335</td>\n",
       "      <td>销售增速转负，多元业务稳步推进</td>\n",
       "      <td>万科A</td>\n",
       "      <td>000002</td>\n",
       "      <td>中泰证券</td>\n",
       "      <td>买入</td>\n",
       "      <td>2021-11-04</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   index                            title stockName stockCode orgSName  \\\n",
       "0     10                万物云拟分拆上市，多元业务价值提升       万科A    000002     中泰证券   \n",
       "1    179      动态跟踪：万科物管分拆上市，开启多元化业务价值释放之路       万科A    000002     光大证券   \n",
       "2    192            万物云拟分拆上市，多元业务价值将逐渐被认可       万科A    000002     东方证券   \n",
       "3    228                万物云拟分拆上市，物管龙头未来可期       万科A    000002     平安证券   \n",
       "4    233  10月经营公告点评：单月销售降幅持续收窄，拿地权益比例维持高位       万科A    000002     天风证券   \n",
       "5    335                  销售增速转负，多元业务稳步推进       万科A    000002     中泰证券   \n",
       "\n",
       "  emRatingName publishDate  \n",
       "0           买入  2021-11-12  \n",
       "1           买入  2021-11-08  \n",
       "2           买入  2021-11-08  \n",
       "3           增持  2021-11-07  \n",
       "4           买入  2021-11-07  \n",
       "5           买入  2021-11-04  "
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sql = \"select * from dongfang_research_news where stockCode = '000002'\"\n",
    "res_pd = pd.read_sql(sql, con=conn, index_col=None)\n",
    "res_pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "Please input the token:  ························································\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import tushare as ts\n",
    "import getpass\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "tushare_token = getpass.getpass('Please input the token: c1f4f063314e224270f26a79c09ddb050e9eac55a7d73a67e7d50360')\n",
    "  # 请在 tushare.pro 网站注册并且告知学生身份，可以取得你的token\n",
    "pro = ts.pro_api(tushare_token)\n",
    "\n",
    "df = pro.daily(ts_code='000002.SZ', start_date='20211119', end_date='20231119')\n",
    "cprice = df[['trade_date','close']].set_index('trade_date').iloc[::-1]\n",
    "cprice.plot(figsize=(20,5), rot = 45)\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.15"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
